Chuk Maritime Archives

Historical Maritime Archives MCP Server -- A comprehensive Model Context Protocol (MCP) server for querying historical maritime shipping records, vessel specifications, crew muster rolls, cargo manifests, shipwreck databases, historical place names, and sailing routes spanning 1497-1874. Covers Dutch (VOC), English (EIC), Portuguese (Carreira da India), Spanish (Manila Galleon), and Swedish (SOIC) maritime archives.

This is a demonstration project provided as-is for learning and testing purposes.

Python 3.11+

Features

This MCP server provides structured access to historical maritime archives and reference data through 47 tools across 11 archives and 6 nations.

All tools return fully-typed Pydantic v2 models for type safety, validation, and excellent IDE support. All tools support output_mode="text" for human-readable output alongside the default JSON.

1. Archive Discovery (maritime_list_archives, maritime_get_archive)

Browse 11 maritime archives across 6 nations:

• Dutch Asiatic Shipping (DAS) -- 8,194 voyages (1595-1795)
• VOC Opvarenden -- up to 774,200 crew records (1633-1794)
• Boekhouder-Generaal Batavia -- 200 curated cargo records (1700-1795)
• MAARER Wreck Database -- 734 wreck positions (1595-1795)
• English East India Company (EIC) -- ~150 curated voyages, ~35 wrecks (1600-1874)
• Portuguese Carreira da India -- ~500 voyages, ~100 wrecks (1497-1835)
• Spanish Manila Galleon -- ~250 voyages, ~42 wrecks (1565-1815)
• Swedish East India Company (SOIC) -- ~132 voyages, ~20 wrecks (1731-1813)
• UK Hydrographic Office (UKHO) -- 94,000+ wrecks worldwide (1500-2024)
• NOAA Wrecks & Obstructions (AWOIS) -- ~13,000 wrecks in US waters (1600-2024)
• Dutch Ships and Sailors (DSS) -- GZMVOC musters + MDB crew (1691-1837)

Note: The EIC, Carreira, Galleon, and SOIC archives are curated datasets compiled from published academic sources. Carreira, Galleon, and SOIC include programmatically expanded records covering the full historical period. VOC Crew data requires running scripts/download_crew.py to download from the Nationaal Archief (774K records, ~80 MB). UKHO data requires running scripts/download_ukho.py to download from EMODnet (94K records). NOAA data requires running scripts/download_noaa.py to download from NOAA ArcGIS (13K records). Curated fallbacks of 50 representative wrecks ship with the repo via scripts/generate_ukho.py and scripts/generate_noaa.py. Cargo and EIC have download scripts (download_cargo.py, download_eic.py) for future expansion from external sources.

2. Voyage Search (maritime_search_voyages, maritime_get_voyage)

Search voyage records across all 5 voyage archives (DAS, EIC, Carreira, Galleon, SOIC):

• Filter by ship name, captain, ports, date range, fate, archive
• Multi-archive search: query all archives at once or filter by specific archive
• Full voyage detail including incident narratives and vessel data

3. Wreck Search (maritime_search_wrecks, maritime_get_wreck)

Search shipwreck and loss records across all 7 wreck archives (MAARER, EIC, Carreira, Galleon, SOIC, UKHO, NOAA):

• Filter by region, cause, depth, cargo value, status, archive, flag, vessel type, GP quality
• Multi-archive wreck search or single-archive filtering
• UKHO adds 94,000+ global wrecks; NOAA adds ~13,000 US coastal wrecks with position quality codes
• Position data with uncertainty estimates
• Archaeological status and notes

4. Vessel Search (maritime_search_vessels, maritime_get_vessel)

Search VOC vessel records:

• Filter by ship type, tonnage, chamber, shipyard
• 6 ship types: retourschip, fluit, jacht, hooker, pinas, fregat
• Construction and service history

5. Hull Profiles (maritime_get_hull_profile, maritime_list_hull_profiles)

Hydrodynamic hull data for drift modelling:

• Dimensions, displacement, drag coefficients
• Windage area and coefficients
• Sinking characteristics and orientation weights
• Reference wrecks and LLM guidance notes

6. Crew Search (maritime_search_crew, maritime_get_crew_member)

Search crew records across multiple archives:

• VOC Opvarenden (default): up to 774,200 records from Nationaal Archief (1633-1794)
• DSS (MDB): 77,043 individual crew records from northern Dutch provinces (1803-1837)
• Filter by name, rank, ship, origin, fate, archive
• Personnel records: rank, pay, embarkation/service dates
• Multi-archive dispatch: archive="voc_crew" or archive="dss"
• Indexed lookups for fast search across large datasets

7. Cargo Search (maritime_search_cargo, maritime_get_cargo_manifest)

Search VOC cargo manifests (200 curated records, expandable via download scripts):

• Filter by commodity, origin, destination, value
• Full voyage manifests with quantities and values
• Dutch and English commodity names

8. Position Assessment (maritime_assess_position)

Evaluate historical position quality:

• Navigation era detection (4 technology periods)
• 5 uncertainty levels from precise to regional
• Recommendations for drift modelling and search planning

9. Location Gazetteer (maritime_lookup_location, maritime_list_locations)

Historical place-name resolution:

• ~170 VOC-era place names with modern coordinates
• Alias resolution (e.g., "Batavia" -> Jakarta, "Formosa" -> Taiwan)
• Region classification matching wreck and route data
• Filter by region, location type, or text search

10. Sailing Routes (maritime_list_routes, maritime_get_route, maritime_estimate_position)

Historical sailing routes with position estimation across 5 nations:

• 18 routes: VOC (8), EIC (4), Carreira da India (2), Manila Galleon (2), SOIC (2)
• Waypoints with coordinates, typical sailing days, stop durations
• Hazards and seasonal navigation notes
• Position estimation: interpolate a ship's likely position on any date
• Speed profile enrichment: use_speed_profiles=True adds CLIWOC-derived speed statistics

11. Speed Profiles (maritime_get_speed_profile)

Historical sailing speed statistics derived from CLIWOC 2.1 daily positions:

• 215 profiles across 6 routes (outward_outer, return, ceylon, coromandel, japan, malabar)
• Mean, median, std dev, and percentile speeds (km/day) per route segment
• Seasonal variation: filter by departure month for month-specific data
• Generated from ~61K daily observations matched to standard routes

12. Ship Tracks (maritime_search_tracks, maritime_get_track, maritime_nearby_tracks)

Historical ship track data from CLIWOC 2.1 Full logbooks (1662-1855):

• ~261K daily position observations from 8 European maritime nations
• Search by nationality (NL, UK, ES, FR, SE, US, DE, DK), year range, and ship name
• Geographic bounding box: filter tracks by lat_min/lat_max/lon_min/lon_max
• Full position histories for individual voyages with ship names, company, and DAS numbers
• Nearby ship search: find what other ships were near a position on a given date
• Useful for wreck investigation context and route reconstruction

13. Cross-Archive Linking (maritime_get_voyage_full)

Unified voyage view with all linked records in a single call, across all archives:

• Works with DAS, EIC, Carreira, Galleon, and SOIC voyages
• Wreck record (linked via voyage_id, across all wreck archives)
• Vessel record (linked via voyage_ids array, DAS voyages)
• Hull profile (linked via ship_type)
• CLIWOC track (linked via DAS number or ship name + nationality matching)
• Replaces the need to call get_voyage, get_wreck, get_vessel, and get_hull_profile separately

14. Timeline (maritime_get_timeline)

Chronological event view combining all data sources for a voyage:

• Assembles events from DAS voyages, route estimates, CLIWOC tracks, and wreck records
• Event types: departure, waypoint estimates, CLIWOC positions, loss/wreck, arrival
• Optional include_positions=True to sample CLIWOC daily positions into the timeline
• GeoJSON LineString output from positioned events

15. Export & Statistics (maritime_export_geojson, maritime_get_statistics)

Export and analyse wreck data:

• GeoJSON FeatureCollection export with optional uncertainty
• Aggregate loss statistics by region, cause, decade
• Artifact store integration for persistent export

16. Narrative Search (maritime_search_narratives)

Full-text search across all free-text narrative content:

• Searches voyage particulars, wreck particulars, and loss_location across all 10 archives
• Keyword and quoted phrase matching with AND logic
• Filter by record type (voyage/wreck) and archive
• Relevance-ranked results with text snippets and match context
• Cursor-based pagination

17. Ship Musters (maritime_search_musters, maritime_get_muster, maritime_compare_wages)

GZMVOC ship-level muster records and wage comparison from the DSS Linked Data Cloud:

• Search ship muster records from Asian waters (1691-1791)
• Crew composition by rank, European/Asian crew counts, aggregate wages
• Cross-link to DAS voyages via das_voyage_id
• Compare wage distributions between time periods (GZMVOC or MDB data)

18. Track Analytics (maritime_compute_track_speeds, maritime_aggregate_track_speeds, maritime_compare_speed_groups, maritime_did_speed_test, maritime_track_tortuosity, maritime_aggregate_track_tortuosity, maritime_wind_rose, maritime_export_speeds, maritime_galleon_transit_times, maritime_wind_direction_by_year)

Server-side speed computation and statistical analysis on CLIWOC track data:

• Per-voyage speeds: compute daily haversine-based speeds from consecutive logbook positions
• Bulk aggregation: aggregate speeds across all matching tracks by decade, year, month, direction, or nationality
• Statistical testing: Mann-Whitney U test comparing speed distributions between two time periods (no scipy needed)
• Geographic bounding box filtering, speed bounds, direction filtering
• Enables climate proxy analysis: detect wind trends, seasonal patterns, volcanic signals in historical ship speeds
• Difference-in-differences: formal 2×2 DiD test (direction × period) with bootstrap confidence intervals
• Route tortuosity: per-voyage and aggregate tortuosity (great-circle vs. actual distance) with optional period comparison
• Wind rose: Beaufort wind force and wind direction distributions from CLIWOC logbooks
• Speed export: raw speed samples for downstream statistical analysis (CSV-ready JSON)
• Galleon transit times: compute transit durations for Manila Galleon voyages (1565–1815) by trade direction
• Wind direction by year: year-by-year wind direction distributions for trend detection

19. Server Discovery (maritime_capabilities)

List full server capabilities for LLM workflow planning:

• Available archives with metadata
• All registered tools with descriptions
• Ship types and geographic regions

Public MCP Server

A hosted instance is available at:

https://maritime-archives.chukai.io/mcp

Use this with any MCP client -- no installation required. All 47 tools and 774K crew records are available.

Installation

Using uvx (Recommended -- No Installation Required!)

uvx chuk-mcp-maritime-archives

Using uv (Recommended for Development)

# Install from PyPI
uv pip install chuk-mcp-maritime-archives

# Or clone and install from source
git clone <repository-url>
cd chuk-mcp-maritime-archives
uv sync --dev

Using pip (Traditional)

pip install chuk-mcp-maritime-archives

Usage

With the Public Server

Point any MCP client at https://maritime-archives.chukai.io/mcp -- no local setup needed.

With Claude Desktop

Option 1: Run Locally with uvx

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "maritime": {
      "command": "uvx",
      "args": ["chuk-mcp-maritime-archives"]
    }
  }
}

Option 2: Run Locally with pip

{
  "mcpServers": {
    "maritime": {
      "command": "chuk-mcp-maritime-archives"
    }
  }
}

Standalone

Run the server directly:

# With uvx (recommended -- always latest version)
uvx chuk-mcp-maritime-archives

# With uvx in HTTP mode
uvx chuk-mcp-maritime-archives --mode http

# Or if installed locally
chuk-mcp-maritime-archives
chuk-mcp-maritime-archives --mode http

Or with uv/Python:

# STDIO mode (default, for MCP clients)
uv run chuk-mcp-maritime-archives
# or: python -m chuk_mcp_maritime_archives.server

# HTTP mode (for web access)
uv run chuk-mcp-maritime-archives --mode http
# or: python -m chuk_mcp_maritime_archives.server --mode http

STDIO mode is for MCP clients like Claude Desktop and mcp-cli. HTTP mode runs a web server on http://localhost:8005 for HTTP-based MCP clients.

Example Prompts

Once configured with an MCP client, here are prompts organised by use case. Each prompt exercises one or more of the 47 tools and demonstrates a different capability of the server.

Exploration & Discovery

Start here. These require no domain knowledge and produce immediately compelling results.

"List the available maritime archives and tell me what each one covers."

→ maritime_list_archives · Overview of all 11 archives across 6 nations

"If I sailed from Texel on October 28, 1628, where would I be by Christmas?"

→ maritime_estimate_position · Position interpolation along historical routes

"Show me the full story of the Batavia — the voyage, the wreck, the vessel, and any crew records."

→ maritime_get_voyage_full · Cross-archive linking across DAS, MAARER, vessel registry, and CLIWOC tracks

"What other ships were sailing near the Batavia wreck site on June 4, 1629?"

→ maritime_nearby_tracks · Proximity search across 261K CLIWOC logbook positions

"Where are the coordinates for Batavia? What about the Cape of Good Hope?"

→ maritime_lookup_location · Historical place-name resolution with modern coordinates

"What route would a ship take from Texel to Batavia via the Roaring Forties?"

→ maritime_get_route · Full route with waypoints, hazards, and season notes

"Show me the timeline of the Batavia's final voyage — every event in chronological order."

→ maritime_get_timeline · Assembled from DAS voyages, route estimates, CLIWOC tracks, and wreck records

Wreck Investigation

These follow the pattern a maritime archaeologist would use: search → assess → export.

"Search for VOC wrecks near the Cape of Good Hope. How many are still unfound?"

→ maritime_search_wrecks · Region + status filtering across 7 wreck archives

"Find all wrecks with cargo worth over 1 million guilders."

→ maritime_search_wrecks · Cargo value filtering

"Get the wreck record for the Batavia, then assess the position quality."

→ maritime_get_wreck + maritime_assess_position · Position uncertainty with navigation-era detection

"Export all Cape wrecks as GeoJSON so I can plot them on a map."

→ maritime_export_geojson · GeoJSON FeatureCollection with uncertainty radii

"Get the hull profile for a retourschip — I need drag coefficients for drift modelling."

→ maritime_get_hull_profile · Hydrodynamic data for 6 ship types

"Show me loss statistics by decade across all archives. What were the deadliest decades?"

→ maritime_get_statistics · Aggregate losses by region, cause, and decade

"Search for UKHO wrecks flagged as Dutch in the Indian Ocean."

→ maritime_search_wrecks · UKHO 94K+ global wrecks with nationality filtering

"Find NOAA wrecks in the Gulf of Mexico with high position quality."

→ maritime_search_wrecks · NOAA AWOIS wrecks with GP quality codes

Multi-Nation Voyages

The server covers Dutch, English, Portuguese, Spanish, and Swedish maritime archives.

"Search for EIC voyages involving the Earl of Abergavenny."

→ maritime_search_voyages · English East India Company (~150 voyages)

"Find Portuguese Carreira voyages commanded by Vasco da Gama."

→ maritime_search_voyages · Portuguese Carreira da India (~500 voyages, 1497–1835)

"Show me Manila Galleon wrecks in the Pacific."

→ maritime_search_wrecks · Spanish Manila Galleon (~42 wrecks)

"Search for Swedish East India Company voyages of the Gotheborg."

→ maritime_search_voyages · SOIC (~132 voyages, 1731–1813)

"Compare Portuguese Carreira wrecks with VOC wrecks in the same regions — different loss causes?"

→ maritime_search_wrecks + maritime_get_statistics · Cross-archive comparison

Crew & Social History

774,000 VOC crew records enable prosopographical research at scale.

"What crew served on the Ridderschap van Holland?"

→ maritime_search_crew · Crew muster roll search

"Show me crew survival rates by rank across the full VOC period. Were officers more likely to survive?"

→ maritime_crew_survival_analysis · Mortality and desertion rates by dimension

"What were the most common ranks on VOC ships? How did the distribution change by decade?"

→ maritime_crew_demographics · Aggregate statistics across 774K records

"Reconstruct the career of any crew member named Pietersz from Amsterdam."

→ maritime_crew_career · Career tracing across multiple voyages with rank progression

"Compare crew wages between 1691–1740 and 1741–1791. Did wages keep up?"

→ maritime_compare_wages · GZMVOC muster wage comparison between time periods

Narrative & Full-Text Search

Search across all free-text fields in all archives.

"Find all mentions of monsoon across all archives."

→ maritime_search_narratives · Full-text search across voyage and wreck particulars

"Which wrecks mention cannon in their descriptions?"

→ maritime_search_narratives · Keyword search with snippet extraction

"Search for narratives about storms near the Cape of Good Hope."

→ maritime_search_narratives · Phrase matching with relevance ranking

Climate Science & Speed Analytics

Ship speeds as wind proxies — original research capability using 261K CLIWOC logbook positions.

"Aggregate Dutch ship speeds in the Roaring Forties by decade from 1750 to 1860, eastbound only.
Then do the same for westbound. Are ships getting faster, and is the trend different by direction?"

→ maritime_aggregate_track_speeds · If eastbound increases faster than westbound, that's wind (strengthening westerlies), not technology. This is the core climate proxy signal.

"Compare ship speeds in the Roaring Forties between 1780–1782 (pre-Laki) and 1784–1786 (post-Laki).
Did the 1783 Laki eruption in Iceland measurably affect Southern Ocean wind patterns?"

→ maritime_compare_speed_groups · Mann-Whitney U test for volcanic signal detection. The Laki eruption injected massive SO₂ into the atmosphere — a speed dip in this window indicates weakened westerlies detectable in 240-year-old logbook data.

"Aggregate ship speeds in the Roaring Forties by month across all years. Which months have the
strongest winds? Then compare seasonal amplitude between 1750–1789 and 1820–1859."

→ maritime_aggregate_track_speeds · Seasonal wind cycle decomposition

"Compare ship speeds in the western Indian Ocean (lon 15–60) versus the eastern Indian Ocean
(lon 60–110) for the same latitude band. Do wind patterns differ between the two basins?"

→ maritime_aggregate_track_speeds · Spatial variation in Southern Ocean wind strength

"Search for Dutch ship tracks passing through the Roaring Forties in the 1780s."

→ maritime_search_tracks · Geographic bounding box filtering on CLIWOC data

"What were the typical sailing speeds on the outward route via the Roaring Forties?"

→ maritime_get_speed_profile · CLIWOC-derived speed statistics per route segment

Cargo & Trade

"Search for pepper shipments from the Malabar coast."

→ maritime_search_cargo · Commodity search across 200 curated BGB records

"What cargo was on the most valuable VOC voyage?"

→ maritime_search_cargo + maritime_get_cargo_manifest · Value filtering and full manifests

Advanced: Multi-Tool Investigation Chains

These prompts naturally trigger 3–8 tool calls as the model builds a complete picture.

"Investigate the Batavia wreck: find the voyage, get the full linked record with crew,
assess the position quality, get the hull profile for drift modelling, and check what other
ships were in the area when it wrecked."

→ Chains: maritime_search_voyages → maritime_get_voyage_full → maritime_assess_position → maritime_get_hull_profile → maritime_nearby_tracks

"I want to understand VOC losses in the Cape region. Search for all Cape wrecks, show me the
statistics by cause, export the found wrecks as GeoJSON, and tell me which unfound wrecks
have the best position data for a search expedition."

→ Chains: maritime_search_wrecks → maritime_get_statistics → maritime_export_geojson → maritime_assess_position (for each candidate)

"Plan a historical sailing voyage: pick a route from Texel to Batavia, show me the waypoints
and hazards, estimate where I'd be after 90 days, and tell me what speeds to expect based on
historical data. Also find any wrecks along the route."

→ Chains: maritime_list_routes → maritime_get_route → maritime_estimate_position → maritime_get_speed_profile → maritime_search_wrecks

"Full climate analysis: aggregate Roaring Forties speeds by decade, test for a Laki volcanic
signal, decompose by month for seasonal patterns, and compare the western vs eastern Indian
Ocean for spatial variation."

→ Chains: maritime_aggregate_track_speeds (×4 with different parameters) → maritime_compare_speed_groups · Complete climate research workflow

Running the Examples

The examples/ directory contains runnable demo scripts that call MCP tools directly:

cd examples

# Quick start (no network required)
python capabilities_demo.py        # server capabilities, ship types, regions
python hull_profiles_demo.py       # hydrodynamic data for all 6 ship types
python location_lookup_demo.py     # VOC gazetteer: place names to coordinates
python route_explorer_demo.py      # sailing routes + position estimation
python track_explorer_demo.py      # CLIWOC ship tracks + nearby search
python cross_archive_demo.py      # unified voyage view across 5 archives
python ukho_global_wrecks_demo.py  # UKHO 94K+ global wrecks: flag, depth, type filters
python noaa_us_wrecks_demo.py     # NOAA 13K+ US wrecks: GP quality, Gulf, Great Lakes
python narrative_search_demo.py   # full-text search across all narrative fields
python speed_profile_demo.py       # CLIWOC-derived speed statistics per segment
python climate_proxy_demo.py       # ship speeds as climate proxies (wind & monsoon)
python volcanic_signal_demo.py    # volcanic signals, E/W ratios, spatial variation
python dss_crew_demo.py           # DSS musters, MDB crew, wage comparison
python entity_resolution_demo.py  # fuzzy matching, confidence scores, link auditing
python timeline_demo.py            # chronological voyage timeline from all sources

# Core tool demos (network required)
python voyage_search_demo.py       # search + detail workflow
python wreck_investigation_demo.py # search, assess, export workflow
python vessel_search_demo.py       # vessel search + ship type comparison
python crew_muster_demo.py         # crew search + detail retrieval
python cargo_trade_demo.py         # cargo search + commodity analysis
python geojson_export_demo.py      # GeoJSON export + filtering
python statistics_demo.py          # aggregate loss statistics

# Full case study (network required)
python batavia_case_study_demo.py  # 12-tool chain investigating the Batavia wreck

Script	Network	Tools Demonstrated
capabilities_demo.py	No	maritime_capabilities, maritime_list_archives, maritime_list_hull_profiles
hull_profiles_demo.py	No	maritime_list_hull_profiles, maritime_get_hull_profile
location_lookup_demo.py	No	maritime_lookup_location, maritime_list_locations
route_explorer_demo.py	No	maritime_list_routes, maritime_get_route, maritime_estimate_position
track_explorer_demo.py	No	maritime_search_tracks, maritime_get_track, maritime_nearby_tracks
cross_archive_demo.py	Partial	maritime_search_voyages, maritime_get_voyage_full (EIC/Carreira/Galleon/SOIC offline, DAS needs network)
speed_profile_demo.py	No	maritime_get_speed_profile, maritime_estimate_position
climate_proxy_demo.py	No	maritime_compute_track_speeds, maritime_get_speed_profile, maritime_get_route, maritime_aggregate_track_speeds, maritime_compare_speed_groups
volcanic_signal_demo.py	No	maritime_aggregate_track_speeds, maritime_compare_speed_groups (Laki eruption, E/W ratio, seasonal amplitude, spatial variation)
dss_crew_demo.py	No	maritime_search_musters, maritime_get_muster, maritime_compare_wages, maritime_search_crew (DSS musters, MDB crew, wage comparison)
entity_resolution_demo.py	No	maritime_get_voyage_full, maritime_audit_links (fuzzy matching, confidence scores, link auditing)
timeline_demo.py	No	maritime_get_timeline, maritime_search_voyages
ukho_global_wrecks_demo.py	No	maritime_search_wrecks, maritime_get_wreck, maritime_get_statistics, maritime_export_geojson (UKHO flag/type/depth filters)
noaa_us_wrecks_demo.py	No	maritime_search_wrecks, maritime_get_wreck, maritime_export_geojson (NOAA GP quality, Gulf, Great Lakes)
narrative_search_demo.py	No	maritime_search_narratives (keyword, phrase, archive/type filters, pagination)
voyage_search_demo.py	Partial	maritime_search_voyages, maritime_get_voyage (DAS needs network, EIC/Carreira/Galleon/SOIC offline)
wreck_investigation_demo.py	Partial	maritime_search_wrecks, maritime_get_wreck, maritime_assess_position, maritime_export_geojson (multi-archive, mostly offline)
vessel_search_demo.py	Yes	maritime_search_vessels, maritime_get_vessel, maritime_get_hull_profile
crew_muster_demo.py	Partial	maritime_search_crew, maritime_get_crew_member (requires download_crew.py first)
cargo_trade_demo.py	No	maritime_search_cargo, maritime_get_cargo_manifest (200 curated records included)
geojson_export_demo.py	Yes	maritime_export_geojson, maritime_search_wrecks
statistics_demo.py	Partial	maritime_get_statistics, maritime_search_wrecks (multi-archive, mostly offline)
batavia_case_study_demo.py	Yes	All tool categories chained together

Tool Reference

All tools accept an optional output_mode parameter ("json" default, or "text" for human-readable output). All search tools support cursor-based pagination via cursor, max_results, next_cursor, has_more, and total_count.

Tool	Category	Description
maritime_list_archives	Archives	List all available maritime archives
maritime_get_archive	Archives	Get archive detail by ID
maritime_search_voyages	Voyages	Search voyages with filters
maritime_get_voyage	Voyages	Get voyage detail by ID
maritime_search_wrecks	Wrecks	Search wreck records
maritime_get_wreck	Wrecks	Get wreck detail by ID
maritime_search_vessels	Vessels	Search vessel records
maritime_get_vessel	Vessels	Get vessel detail by ID
maritime_get_hull_profile	Vessels	Hydrodynamic profile for ship type
maritime_list_hull_profiles	Vessels	Available ship types
maritime_search_crew	Crew	Search crew muster rolls
maritime_get_crew_member	Crew	Get crew member detail
maritime_search_cargo	Cargo	Search cargo manifests
maritime_get_cargo_manifest	Cargo	Full cargo manifest for a voyage
maritime_lookup_location	Location	Look up historical place name in VOC gazetteer
maritime_list_locations	Location	Search/browse gazetteer by region, type, or text
maritime_list_routes	Routes	List historical sailing routes (18 routes, 5 nations)
maritime_get_route	Routes	Full route with waypoints, hazards, season notes
maritime_estimate_position	Routes	Estimate ship position on a date from route
maritime_search_tracks	Tracks	Search CLIWOC ship tracks by nationality and date
maritime_get_track	Tracks	Get full position history for a CLIWOC voyage
maritime_nearby_tracks	Tracks	Find ships near a position on a given date
maritime_get_speed_profile	Speed	Historical sailing speed statistics per segment
maritime_get_voyage_full	Linking	Unified voyage view with all linked records
maritime_get_timeline	Timeline	Chronological event view for a voyage
maritime_assess_position	Position	Position quality and uncertainty assessment
maritime_export_geojson	Export	GeoJSON wreck position export
maritime_get_statistics	Export	Aggregate loss statistics
maritime_search_musters	Musters	Search GZMVOC ship muster records
maritime_get_muster	Musters	Get full muster record details
maritime_compare_wages	Musters	Compare wage distributions between time periods
maritime_search_narratives	Narratives	Full-text search across all narrative fields
maritime_compute_track_speeds	Analytics	Compute daily sailing speeds for a CLIWOC voyage
maritime_aggregate_track_speeds	Analytics	Aggregate track speeds by decade, year, month, direction, or nationality
maritime_compare_speed_groups	Analytics	Compare speed distributions between two time periods (Mann-Whitney U)
maritime_did_speed_test	Analytics	Formal 2×2 Difference-in-Differences test (direction × period)
maritime_track_tortuosity	Analytics	Compute route tortuosity for a single CLIWOC voyage
maritime_aggregate_track_tortuosity	Analytics	Aggregate route tortuosity across CLIWOC tracks
maritime_wind_rose	Analytics	Beaufort wind force and direction distributions from CLIWOC logbooks
maritime_export_speeds	Analytics	Export raw speed samples for downstream statistical analysis
maritime_galleon_transit_times	Analytics	Compute transit times for Manila Galleon voyages (1565–1815)
maritime_wind_direction_by_year	Analytics	Year-by-year wind direction distributions from CLIWOC logbooks
maritime_crew_demographics	Demographics	Aggregate crew statistics by rank, origin, fate, decade, or ship
maritime_crew_career	Demographics	Reconstruct individual crew careers across multiple voyages
maritime_crew_survival_analysis	Demographics	Crew survival, mortality, and desertion rates by dimension
maritime_capabilities	Discovery	Server capabilities and reference data

maritime_search_narratives

{
  "query": "monsoon",                            # required, keywords or "quoted phrase"
  "record_type": "voyage",                       # optional: "voyage", "wreck", or null (both)
  "archive": "eic",                              # optional, restrict to one archive
  "max_results": 50,                             # optional, default 50, max 500
  "cursor": null                                 # optional, from previous next_cursor
}

maritime_search_voyages

{
  "ship_name": "Batavia",                       # optional, substring match
  "captain": "Jacobsz",                         # optional
  "date_range": "1620/1640",                     # optional, YYYY/YYYY
  "departure_port": "Texel",                     # optional
  "fate": "wrecked",                             # optional
  "max_results": 10,                             # optional, default 50, max 500
  "cursor": "eyJvIjoxMH0"                       # optional, from previous next_cursor
}

maritime_search_wrecks

{
  "region": "cape",                              # optional, region code
  "cause": "storm",                              # optional
  "status": "unfound",                           # optional
  "min_depth_m": 100,                            # optional
  "min_cargo_value": 100000,                     # optional, guilders
  "max_results": 50,                             # optional, default 100, max 500
  "cursor": null                                 # optional, from previous next_cursor
}

maritime_search_musters

{
  "ship_name": "Middelburg",                     # optional, substring match
  "captain": "Pietersz",                         # optional
  "location": "Batavia",                         # optional, muster location
  "year_start": 1720,                            # optional, earliest year
  "year_end": 1760,                              # optional, latest year
  "date_range": "1720/1760",                     # optional, YYYY/YYYY
  "das_voyage_id": "das:1234",                   # optional, cross-link to DAS voyage
  "max_results": 50,                             # optional, default 50, max 500
  "cursor": null                                 # optional, from previous next_cursor
}

maritime_compare_wages

{
  "group1_start": 1691,                          # required, first group start year
  "group1_end": 1740,                            # required, first group end year
  "group2_start": 1741,                          # required, second group start year
  "group2_end": 1791,                            # required, second group end year
  "rank": "matroos",                             # optional, rank filter
  "origin": "Groningen",                         # optional, origin filter (MDB only)
  "source": "musters"                            # "musters" (GZMVOC) or "crews" (MDB)
}

maritime_search_crew

{
  "ship_name": "Ridderschap van Holland",        # optional
  "rank": "schipper",                            # optional
  "fate": "died_voyage",                         # optional
  "archive": "voc_crew",                         # optional: "voc_crew" or "dss"
  "max_results": 50,                             # optional, default 100, max 500
  "cursor": null                                 # optional, from previous next_cursor
}

maritime_search_cargo

{
  "commodity": "pepper",                         # optional, substring match
  "origin": "Malabar",                           # optional
  "min_value": 100000,                           # optional, guilders
  "max_results": 50,                             # optional, default 100, max 500
  "cursor": null                                 # optional, from previous next_cursor
}

maritime_assess_position

{
  "wreck_id": "maarer:VOC-0789",                 # assess wreck position
  "source_description": "GPS surveyed site"      # position source info
}

maritime_export_geojson

{
  "region": "cape",                              # optional filter
  "status": "found",                             # optional filter
  "include_uncertainty": true,                   # include uncertainty radius
  "include_voyage_data": true                    # include ship/cargo data
}

maritime_lookup_location

{
  "name": "Batavia"                              # place name or alias
}

maritime_list_locations

{
  "query": "spice",                              # optional, text search
  "region": "indonesia",                         # optional, region code
  "location_type": "port",                       # optional: port, island, cape, etc.
  "max_results": 50                              # optional, default 50
}

maritime_list_routes

{
  "direction": "outward",                        # optional: outward, return, intra_asian, pacific_westbound, pacific_eastbound
  "departure_port": "Texel",                     # optional, substring match
  "destination_port": "Batavia"                  # optional, substring match
}

maritime_get_route

{
  "route_id": "outward_outer"                    # route identifier
}

maritime_estimate_position

{
  "route_id": "outward_outer",                   # route identifier
  "departure_date": "1629-10-28",                # YYYY-MM-DD
  "target_date": "1630-02-15",                   # date to estimate position
  "use_speed_profiles": true                     # optional: enrich with CLIWOC speed data
}

maritime_get_speed_profile

{
  "route_id": "outward_outer",                   # route identifier
  "departure_month": 10                          # optional: month (1-12) for seasonal data
}

maritime_get_timeline

{
  "voyage_id": "das:0372.1",                     # voyage ID from any archive
  "include_positions": true,                     # optional: include CLIWOC daily positions
  "max_positions": 20                            # optional: max CLIWOC positions to sample
}

maritime_get_voyage_full

{
  "voyage_id": "eic:0062"                          # voyage ID from any archive (das, eic, carreira, galleon, soic)
}

maritime_search_tracks

{
  "nationality": "NL",                            # optional: NL, UK, ES, FR, SE, US, DE, DK
  "year_start": 1780,                             # optional, earliest year
  "year_end": 1800,                               # optional, latest year
  "ship_name": "BATAVIA",                         # optional, substring match (CLIWOC 2.1 Full)
  "lat_min": -50,                                 # optional, bounding box min latitude
  "lat_max": -30,                                 # optional, bounding box max latitude
  "lon_min": 15,                                  # optional, bounding box min longitude
  "lon_max": 110,                                 # optional, bounding box max longitude
  "max_results": 50,                              # optional, default 50, max 500
  "cursor": null                                  # optional, from previous next_cursor
}

maritime_get_track

{
  "voyage_id": 118                                # CLIWOC voyage ID (integer)
}

maritime_nearby_tracks

{
  "lat": -28.49,                                  # latitude of search point
  "lon": 113.79,                                  # longitude of search point
  "date": "1629-06-04",                           # date to search (YYYY-MM-DD)
  "radius_km": 200,                               # optional, default 200km
  "max_results": 20                               # optional, default 20
}

maritime_get_hull_profile

{
  "ship_type": "retourschip"                     # ship type code
}

maritime_compute_track_speeds

{
  "voyage_id": 118,                               # required, CLIWOC voyage ID
  "lat_min": -50,                                 # optional, bounding box
  "lat_max": -30,
  "lon_min": 15,
  "lon_max": 110,
  "min_speed_km_day": 5.0,                        # optional, filter slow/anchored
  "max_speed_km_day": 400.0                        # optional, filter errors
}

maritime_aggregate_track_speeds

{
  "group_by": "decade",                            # "decade", "year", "month", "direction", "nationality"
  "lat_min": -50,                                  # optional, bounding box
  "lat_max": -30,
  "lon_min": 15,
  "lon_max": 110,
  "nationality": "NL",                             # optional, filter by nationality
  "year_start": 1750,                              # optional
  "year_end": 1800,                                # optional
  "direction": "eastbound",                        # optional, "eastbound" or "westbound"
  "min_speed_km_day": 5.0,                         # optional
  "max_speed_km_day": 400.0                        # optional
}

maritime_compare_speed_groups

{
  "period1_years": "1750/1789",                     # required, first period
  "period2_years": "1820/1859",                     # required, second period
  "lat_min": -50,                                  # optional, bounding box
  "lat_max": -30,
  "lon_min": 15,
  "lon_max": 110,
  "nationality": "NL",                             # optional
  "direction": "eastbound"                         # optional
}

Development

Setup

# Clone the repository
git clone <repository-url>
cd chuk-mcp-maritime-archives

# Install with uv (recommended)
uv sync --dev

# Or with pip
pip install -e ".[dev]"

Running Tests

# Run tests
pytest tests/

# Run tests with coverage
pytest tests/ --cov=src/chuk_mcp_maritime_archives --cov-report=term-missing

# Run a specific test file
pytest tests/test_archive_manager.py -v

Code Quality

# Run all checks (lint, typecheck, security, test)
make check

# Lint and format with ruff
ruff check src/ tests/
ruff format src/ tests/

# Type checking
mypy src/

# Security scan
bandit -r src/ -x tests/

Building

# Build package
python -m build

# Or with uv
uv build

Data Pipeline

All download and generation scripts support --force to regenerate even if cached data exists:

# Download/generate all datasets
python scripts/download_all.py

# Force regeneration of all data
python scripts/download_all.py --force

# Individual scripts
python scripts/download_das.py          # VOC voyages/vessels/wrecks from Huygens API
python scripts/download_cliwoc.py       # CLIWOC ship tracks (~261K positions)
python scripts/download_crew.py         # VOC crew from Nationaal Archief (~774K records, ~80 MB)
python scripts/download_cargo.py        # BGB cargo from Zenodo RDF
python scripts/download_eic.py          # EIC from ThreeDecks
python scripts/generate_carreira.py     # Portuguese Carreira (~500 voyages, ~100 wrecks)
python scripts/generate_galleon.py      # Manila Galleon (~250 voyages, ~42 wrecks)
python scripts/generate_soic.py         # Swedish SOIC (~132 voyages, ~20 wrecks)
python scripts/generate_cargo.py        # Curated cargo fallback (~200 records)
python scripts/generate_dss.py          # DSS musters + MDB crew (~70 musters, ~101 crew)
python scripts/download_dss.py          # DSS .ttl download from DANS (falls back to generate)
python scripts/generate_reference.py    # Gazetteer, routes, hull profiles
python scripts/generate_speed_profiles.py  # CLIWOC speed statistics

Data volume: Core reference data is ~35 MB. With crew data downloaded, total is ~115 MB. The data/cache/ directory (raw downloads) is gitignored.

Configuration

Environment Variables

Variable	Default	Description
CHUK_ARTIFACTS_PROVIDER	memory	Storage backend: memory, filesystem, s3
CHUK_ARTIFACTS_PATH	-	Filesystem storage path
BUCKET_NAME	-	S3 bucket name
AWS_ACCESS_KEY_ID	-	AWS access key for S3
AWS_SECRET_ACCESS_KEY	-	AWS secret key for S3
AWS_ENDPOINT_URL_S3	-	Custom S3 endpoint (MinIO, etc.)
MCP_STDIO	-	Set to any value to force stdio mode
REDIS_URL	-	Redis URL for session management
MARITIME_REFERENCE_MANIFEST	-	Artifact ID of reference data manifest (see below)

.env File

The server loads environment variables from a .env file via python-dotenv. Copy .env.example for a documented template:

cp .env.example .env

Minimal local development (no S3):

CHUK_ARTIFACTS_PROVIDER=memory

With filesystem storage:

CHUK_ARTIFACTS_PROVIDER=filesystem
CHUK_ARTIFACTS_PATH=/tmp/maritime-artifacts

S3-Backed Reference Data

For multi-server deployments, reference data (~35 MB across 18 JSON files) can be stored in S3 and preloaded at startup, eliminating the need to run download scripts on each server.

1. Configure S3 credentials in .env:

   CHUK_ARTIFACTS_PROVIDER=s3
   BUCKET_NAME=your-maritime-bucket
   AWS_ACCESS_KEY_ID=...
   AWS_SECRET_ACCESS_KEY=...
   

2. Upload reference data to the artifact store:

   python scripts/upload_reference_data.py
   

3. Set the manifest ID printed by the script:

   MARITIME_REFERENCE_MANIFEST=<manifest-artifact-id>
   

4. New servers will automatically download missing data files from S3 at startup.

Docker

Build

docker build -t chuk-mcp-maritime-archives .

Run

# HTTP mode (default in container)
docker run -p 8005:8005 chuk-mcp-maritime-archives

# With S3 storage
docker run -p 8005:8005 \
  -e CHUK_ARTIFACTS_PROVIDER=s3 \
  -e BUCKET_NAME=my-bucket \
  -e AWS_ACCESS_KEY_ID=... \
  -e AWS_SECRET_ACCESS_KEY=... \
  chuk-mcp-maritime-archives

Architecture

Built on top of chuk-mcp-server, this server uses:

• Async-First: Native async/await with sync HTTP wrapped in asyncio.to_thread()
• Type-Safe: Pydantic v2 models with extra="forbid" for all responses, extra="allow" for domain models
• In-Memory Caching: Data loaded once from JSON via _load_json() and cached in instance attributes
• Reproducible Data: Download scripts fetch real data from DAS, CLIWOC, and Nationaal Archief; curated generation scripts for Carreira, Galleon, SOIC; all scripts support --force and cache-check pattern
• Pluggable Storage: Artifact storage via chuk-artifacts (memory, filesystem, S3)
• No External HTTP Deps: Uses stdlib urllib.request -- no requests/httpx dependency
• Indexed Lookups: Lazy-built in-memory indexes for large datasets (774K crew records)
• Cross-Archive Linking: Unified voyage view with wreck, vessel, hull profile, and CLIWOC track linking
• Multi-Archive Dispatch: 11 archives across 6 nations (Dutch, English, Portuguese, Spanish, Swedish, American) with unified query interface
• Dual Output: All 47 tools support output_mode="text" for human-readable responses
• Domain Reference Data: ~170 place gazetteer, 18 routes (5 nations), 6 hull profiles, 215 speed profiles, ~261K ship positions, 22 regions, 7 navigation eras
• Cursor-Based Pagination: All 8 search tools support cursor / next_cursor / has_more for paging through large result sets
• 1042+ Tests: Across 15 test modules with 96%+ branch coverage

Supported Archives

Archive	Records	Period	Source
Dutch Asiatic Shipping (DAS)	8,194 voyages	1595-1795	resources.huygens.knaw.nl/das
VOC Opvarenden	up to 774,200 crew	1633-1794	nationaalarchief.nl
Boekhouder-Generaal Batavia	200 cargo (curated)	1700-1795	bgb.huygens.knaw.nl
MAARER Wrecks	734 wrecks	1595-1795	Compiled dataset
CLIWOC Ship Tracks	~261,000 positions	1662-1855	historicalclimatology.com (CLIWOC 2.1 Full)
English East India Company (EIC)	~150 voyages, ~35 wrecks	1600-1874	Hardy/Farrington (curated)
Portuguese Carreira da India	~500 voyages, ~100 wrecks	1497-1835	Guinote/Frutuoso/Lopes (curated + expanded)
Spanish Manila Galleon	~250 voyages, ~42 wrecks	1565-1815	Schurz (curated + expanded)
Swedish East India Company (SOIC)	~132 voyages, ~20 wrecks	1731-1813	Koninckx (curated + expanded)
Dutch Ships and Sailors (DSS)	~70 musters, ~101 crew	1691-1837	CLARIN-IV DSS (GZMVOC + MDB)

Reference Data

Dataset	Records	Source
VOC Gazetteer	~170 place names	Curated from historical sources
Historical Routes	18 sailing routes	Bruijn, Gaastra & Schoffer (1987) + multi-nation sources
Speed Profiles	215 profiles, 6 routes	Generated from CLIWOC 2.1 daily positions
Hull Profiles	6 ship types	Archaeological measurements
EIC Archives	~150 voyages, ~35 wrecks	Hardy's Register of Ships (1835), Farrington (1999)
Carreira Archives	~500 voyages, ~100 wrecks	Guinote/Frutuoso/Lopes "As Armadas da India"
Galleon Archives	~250 voyages, ~42 wrecks	Schurz "The Manila Galleon" (1939)
SOIC Archives	~132 voyages, ~20 wrecks	Koninckx "First and Second Charters of the SEIC" (1980)

See ARCHITECTURE.md for design principles and data flow diagrams. See SPEC.md for the full tool specification with parameter tables. See ROADMAP.md for the development roadmap and planned features.

Roadmap

Completed (v0.1.0 - v0.3.0)

• 26 MCP tools across 13 categories (voyages, wrecks, vessels, crew, cargo, position, export, discovery, archives, hull profiles, location, routes, tracks)
• 4 archive clients: DAS, VOC Crew, BGB Cargo, MAARER Wrecks
• CLIWOC ship tracks: ~261K logbook positions (1662-1855, 8 nationalities)
• VOC Gazetteer, sailing routes, position estimation, hull profiles
• Reproducible data pipeline: download scripts for DAS and CLIWOC

Completed (v0.4.0)

• 27 MCP tools across 14 categories (added cross-archive linking)
• Cross-archive linking: maritime_get_voyage_full returns unified voyage view with wreck, vessel, hull profile, and CLIWOC track
• CLIWOC 2.1 Full upgrade: ship names, company, DAS numbers for direct cross-archive linking
• Ship name search: maritime_search_tracks now supports ship name filtering
• 430 tests, 97%+ branch coverage

Completed (v0.5.0)

• 29 MCP tools across 16 categories (added speed profiles and timeline)
• Speed profiles: maritime_get_speed_profile returns CLIWOC-derived speed statistics per route segment with seasonal variation
• Timeline view: maritime_get_timeline assembles chronological events from all data sources for a voyage
• Enhanced position estimation: maritime_estimate_position now supports use_speed_profiles=True for CLIWOC-enriched estimates
• 483 tests, 97%+ branch coverage

Completed (v0.6.0)

• Artifact store integration: GeoJSON exports and timeline tracks stored to chuk-artifacts with scope="sandbox"
• S3-backed reference data: scripts/upload_reference_data.py + MARITIME_REFERENCE_MANIFEST for automatic preloading
• .env.example configuration template documenting all environment variables
• 499 tests, 97%+ branch coverage

Completed (v0.7.0)

• 8 archives across 5 nations: English East India Company (EIC), Portuguese Carreira da India, Spanish Manila Galleon, Swedish East India Company (SOIC)
• Multi-archive dispatch: search_voyages(archive="eic") queries one archive; no filter queries all
• ~450 new voyage records, ~112 new wrecks from curated academic sources
• Coverage expanded: 1497-1874 (from 1595-1795)
• 585 tests, 97%+ branch coverage

Completed (v0.8.0)

• Expanded curated archives: Carreira 120->500 voyages/100 wrecks, Galleon 100->250 voyages/42 wrecks, SOIC 80->132 voyages/20 wrecks
• Download infrastructure: shared download_utils.py with cache-check-download pattern and --force flag
• VOC crew pipeline: download_crew.py downloads 774K records from Nationaal Archief; crew_client.py with indexed lookups for O(1) voyage/ID searches
• Cargo pipeline: download_cargo.py for BGB Zenodo RDF, generate_cargo.py for curated fallback
• EIC pipeline: download_eic.py for ThreeDecks scraping, generate_eic.py as curated fallback
• All scripts retrofitted with --force and cache-check pattern via download_utils.py
• download_all.py orchestrator runs all 10 scripts with --force passthrough

Completed (v0.9.0)

• Cursor-based pagination for all 6 search tools (voyages, wrecks, crew, cargo, vessels, tracks)
• cursor parameter on all search tools; total_count, next_cursor, has_more in all search responses
• Page through 774K crew records or 8,194 voyages incrementally
• PaginatedResult dataclass and _paginate() in ArchiveManager; deterministic sort for multi-archive queries
• 597 tests, 97%+ branch coverage

Completed (v0.11.0)

• UKHO Global Wrecks: 94,000+ wrecks worldwide from UK Hydrographic Office via EMODnet (Open Government Licence v3.0)
• 9 archives across 6 nations: added UKHO as wrecks-only archive with global coverage (1500-2024)
• New wreck filters: flag (vessel nationality) and vessel_type on wreck search
• 5 new global regions: north_atlantic, mediterranean, baltic, north_pacific, australia_nz
• Dual data pipeline: download_ukho.py (EMODnet WFS, 94K records) + generate_ukho.py (50 curated fallback wrecks)
• 616 tests, 97%+ branch coverage

Completed (v0.12.0 - v0.13.0)

• NOAA Wrecks & Obstructions: ~13,000 wrecks in US coastal waters from NOAA AWOIS (public domain)
• 10 archives across 6 nations: added NOAA as wrecks-only archive with US coverage (1600-2024)
• New search filter: gp_quality for NOAA position accuracy codes
• 2 new US regions: gulf_of_mexico, great_lakes
• 30 MCP tools across 17 categories (added narrative search)
• Full-text narrative search: maritime_search_narratives searches voyage particulars, wreck particulars, and loss_location across all 10 archives with phrase matching, relevance ranking, and snippet extraction
• 647 tests, 97%+ branch coverage

Completed (v0.14.0)

• 33 MCP tools across 18 categories (added track analytics)
• Track analytics: maritime_compute_track_speeds, maritime_aggregate_track_speeds, maritime_compare_speed_groups for server-side speed computation, aggregation by decade/year/month/direction/nationality, and Mann-Whitney U statistical testing
• Geographic search: maritime_search_tracks now supports lat/lon bounding box filtering
• 762 tests, 97%+ branch coverage

Completed (v0.15.0)

• 36 MCP tools across 19 categories (added ship musters)
• Dutch Ships and Sailors (DSS): GZMVOC ship-level muster records (1691-1791) + MDB individual crew records (1803-1837)
• New tools: maritime_search_musters, maritime_get_muster, maritime_compare_wages
• Multi-archive crew dispatch: maritime_search_crew now supports archive="dss" for MDB records
• 810 tests, 97%+ branch coverage

Completed (v0.16.0 - v0.17.0)

• 37 MCP tools across 19 categories (added entity resolution + link audit)
• Entity resolution: pure-Python fuzzy matching for ship names (Levenshtein, Soundex, composite scoring)
• Link confidence: 0.0-1.0 confidence scores on all cross-archive links in maritime_get_voyage_full
• Link audit: maritime_audit_links for precision/recall metrics
• 18 sailing routes across 5 nations: VOC (8), EIC (4), Carreira (2), Manila Galleon (2), SOIC (2)
• New route directions: pacific_westbound, pacific_eastbound for Manila Galleon Pacific crossings
• Gazetteer expansion: ~170 places including London, Lisbon, Gothenburg, Acapulco, Guam, Azores
• Position estimation: works with all 18 routes across all archive nations
• 968+ tests, 96%+ branch coverage

Completed (v0.18.0 - v0.18.1)

• 40 MCP tools across 20 categories (added crew demographics & network analysis)
• Crew demographics: maritime_crew_demographics for aggregate statistics by rank, origin, fate, decade, or ship
• Career reconstruction: maritime_crew_career reconstructs individual careers across multiple voyages with rank progression
• Survival analysis: maritime_crew_survival_analysis for mortality and desertion rates by dimension
• Voyage ID prefix normalisation fix: cross-archive wreck and vessel lookups now handle unprefixed IDs (e.g. "0372.1" matching "das:0372.1")
• Date-line crossing fix: position estimation now correctly interpolates longitude across the ±180° date line (Manila Galleon Pacific routes)
• 1042+ tests, 96%+ branch coverage

Planned

• Drift modelling: available as chuk-mcp-ocean-drift (10 tools, v0.1.0) — forward/backtrack/Monte Carlo drift computation using hull profiles and position data from this server

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

Apache License 2.0 -- See LICENSE for details.

Acknowledgments

• Huygens Institute for the Dutch Asiatic Shipping database
• Nationaal Archief for VOC crew and cargo records
• CLIWOC for the Climatological Database for World's Oceans
• Dani Arribas-Bel for the CLIWOC Slim and Routes dataset
• Model Context Protocol for the MCP specification
• Anthropic for Claude and MCP support
• J.R. Bruijn, F.S. Gaastra, and I. Schoffer for Dutch-Asiatic Shipping in the 17th and 18th Centuries (1987)
• C.R. Hardy for A Register of Ships Employed in the Service of the East India Company (1835)
• A. Farrington for Catalogue of East India Company Ships' Journals and Logs (1999)
• P. Guinote, E. Frutuoso, and A. Lopes for As Armadas da India 1497-1835
• W.L. Schurz for The Manila Galleon (1939)
• C. Koninckx for The First and Second Charters of the Swedish East India Company (1980)
• Dutch Ships and Sailors CLARIN-IV project for the DSS Linked Data Cloud (GZMVOC and MDB datasets)