@Cyanheads/Secedgar Server

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Overview

SEC EDGAR filings, XBRL financials, and company ownership data, keyless aside from a required SEC User-Agent header. Resolve companies by ticker, name, or CIK, search filings back to 1993, pull XBRL financials and cross-company comparisons by concept, and trace ownership — insider transactions, 13F institutional holdings, 13D/13G blockholders, and fund holdings — from any MCP client. Runs as a stdio process, a local Streamable HTTP server, or the public hosted endpoint above.

Tools

Tool	Description
secedgar_company_search	Find companies and retrieve entity info with optional recent filings
secedgar_search_filings	Search EDGAR filings since 1993 — full-text (2001+) plus archive-backed browse for pre-2001 ranges
secedgar_get_filing	Fetch a specific filing's metadata and document content
secedgar_get_financials	Get historical XBRL financial data for a company
secedgar_get_snapshot	One-call financial profile — the latest value of every supported concept, grouped by statement
secedgar_get_material_events	8-K filings with item codes decoded and filterable — earnings, officer changes, non-reliance
secedgar_get_insider_transactions	Form 4 / 4-A insider transactions (buys, sells, grants, exercises) parsed from ownership XML
secedgar_get_institutional_holdings	13F-HR quarterly institutional holdings parsed from the information table
secedgar_find_holders	Reverse 13F lookup — which institutional managers reported holding an issuer
secedgar_get_beneficial_owners	5%+ blockholders of an issuer, parsed from structured SCHEDULE 13D / 13G filings
secedgar_get_fund_holdings	ETF and mutual fund portfolio holdings from the quarterly NPORT-P report
secedgar_fetch_frames	Fetch SEC XBRL frames for one concept × one period across all reporting companies
secedgar_compare_companies	Compare named companies across several concepts, aligned on calendar periods
secedgar_search_concepts	Discover supported XBRL concept names or reverse-lookup a raw tag
secedgar_dataframe_describe	List canvas dataframes with provenance, TTL, and schema
secedgar_dataframe_query	Run a single-statement SELECT across dataframes
secedgar_dataframe_drop	Drop a canvas dataframe by name. Opt-in via EDGAR_DATAFRAME_DROP_ENABLED=true — off by default since TTL already handles cleanup, and uncallable until the flag is set

Resources

Resource	Description
secedgar://concepts	Common XBRL financial concepts grouped by statement, mapping friendly names to XBRL tags
secedgar://filing-types	Common SEC filing types with descriptions, cadence, and use cases, plus the full 8-K item-code decode tables for both numbering regimes

Prompts

Prompt	Description
secedgar_company_analysis	Guides a structured analysis of a public company's SEC filings: identify recent filings, extract financial trends, surface risk factors, and note material events

Capability reference

secedgar_company_search _tool

• Resolves ticker symbols, company names, or CIK numbers; a multi-class share ticker matches either form (BRK-B or BRK.B), and current/former names both resolve (Facebook → Meta Platforms, Square → Block)
• ETFs and mutual funds resolve by ticker via company_tickers_mf.json; fund results carry series_id and class_id
• Corporate suffix form need not match the registry (Beacon Financial Corporation → Beacon Financial Corp), but Corp/Inc/Co/Ltd stay distinct — separate registrants can differ only by which one they use
• Near-match suggestions on a zero-result name or ticker search (e.g. Microsfot → MICROSOFT CORP / MSFT)
• Optional recent filings inline with form-type filtering; filed_after/filed_before and under-filled form filters page into the older submissions archive, reaching filings past the ~1000-entry recent window — history_scanned_through reports the scan depth, and the full filtered history stages as df_<id> when it exceeds filing_limit
• Returns entity metadata — SIC code, exchanges, fiscal year end, state of incorporation

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secedgar_search_filings _tool

• Full-text search (2001–present, the EFTS index floor) with exact phrases, boolean operators, wildcards, and inline entity targeting (cik:320193 / ticker:AAPL, either share-class form for multi-class tickers) — server-side scoped by CIK, so former-name filings on the same entity are included
• Browse mode (omit query) lists by form type and/or entity, optionally narrowed by date; a bare date range must pair with forms or entity targeting
• Pre-2001 date ranges (back to 1993) route to the archives — entity-scoped reads the filer's full submissions history, unscoped browses the quarterly full-index; pre-2001 free-text search needs ticker:/cik: entity scope, since it works by reading up to 50 candidate documents (scan reports candidates/scanned/matched, costing ~5s for a full scan)
• A range crossing 2001-01-01 is split at the boundary and merged, each row tagged with its source (efts/submissions/full-index); period_ending, ticker, file_description, sic, and location exist only on efts rows
• Date range and form-type filtering, pagination up to 10,000 results; response includes form distribution for narrowing follow-up searches
• The full result set stages as df_<id> when it exceeds the inline limit

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secedgar_get_filing _tool

• Accepts accession numbers in dash or no-dash format; fetches the primary document or a specific exhibit by name
• Converts HTML filings to plain text; pre-2005 filings produce noisier output
• Configurable content_limit (1K–200K characters, default 50K)
• Binary entries (scanned pages, PDF exhibits, packaged archives/spreadsheets) are marked binary in the document catalog and rejected with a binary_document error rather than returned as decoded bytes
• Offset paging for large documents (10-K, S-1/A can exceed 1M chars) — pass a truncated response's next_offset as offset to continue; first-page truncated responses include a detected outline (headings + offsets)
• section jumps directly to a named heading by substring match ignoring case, whitespace style, and quote style ("risk factors", "item 7") — a miss returns the detected outline; extracted text is cached per accession + document (bounded LRU, 8 entries) so paged calls are cheap

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secedgar_get_financials _tool

• Friendly names ("revenue", "net_income", "eps_diluted") auto-resolve to XBRL tags, including historical tag changes (e.g. ASC 606 revenue recognition) — see secedgar://concepts for the full mapping
• Automatic deduplication to one value per standard calendar period; filter by period_type (annual/quarterly/all)
• Optional limit caps the inline series to the most-recent N periods; the full series stays queryable via df_<id>
• caveats names every calendar quarter absent from the frame-tagged series — SEC reports fiscal Q4 as the 10-K residual, so the calendar quarter it spans carries no discrete quarterly value (calendar-year filers included), and a filer whose other fiscal quarters span non-calendar durations can lose a second quarter the same way
• A separate caveats entry appears when the concept resolved to an XBRL tag SEC has retired from the taxonomy — that only happens when no current tag reports for the filer, and the series can then stop years short

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secedgar_get_snapshot _tool

• Reads the filer's complete companyfacts payload once and resolves every supported concept against it — one call instead of a run of secedgar_get_financials calls
• Same frame dedup and tag priority as secedgar_get_financials, so the two agree for any concept they both cover
• Duration concepts (income statement, cash flow, per-share) report their latest full year and latest single quarter; balance-sheet and entity-info concepts report their latest point-in-time value
• Concepts the filer does not report are listed under gaps with the XBRL tags that were tried — never zero-filled or interpolated
• IFRS filers resolve through the mapped IFRS tag variants via taxonomy: "ifrs-full", covering the income statement, balance sheet, cash flow, and per-share concepts; each line reports the taxonomy its value came from
• Compact single-record profile, no dataframe — reach for secedgar_get_financials when a time series is needed

---

secedgar_get_material_events _tool

• Filter with items (e.g. ["2.02"] results of operations, ["5.02"] officer departures, ["4.02"] non-reliance) — the only surface that scopes by what the event actually was, since secedgar_search_filings and secedgar_company_search cannot see item codes
• Two numbering regimes are both accepted and decoded: the dotted scheme in force since 2004-08-23, and single integers before it (legacy 12 is the ancestor of 2.02, 9 of 7.01); decoding keys off the code's shape so a filing straddling the changeover is never mis-decoded
• item_distribution counts every code across the scanned window before the filter, so a zero-hit filter still surfaces the items that are present
• A date window pages into the older submissions archive, reaching 8-K filings older than the ~1000-filing recent window; history_scanned_through discloses the scan depth
• The full decode table is in the secedgar://filing-types resource
• The full filtered set materializes as df_<id> with item codes on every row — item frequency over time is one secedgar_dataframe_query away

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secedgar_get_insider_transactions _tool

• Parses Form 4 / 4-A insider transactions from ownership XML; Form 3 initial statements and Form 5 annual statements are not covered — reach those with secedgar_search_filings (forms: ["3", "5"]) plus secedgar_get_filing
• Reporting person, relationship to issuer (director, officer + title, 10% owner), and transaction date
• Transaction code mapped to a readable type (purchase, sale, gift, award, exercise, …); shares signed by acquired/disposed, price per share, and shares owned after each transaction; covers non-derivative (open-market) and derivative (option/RSU) lines
• Filter by transaction_type (purchase, sale, all); scans newest filings first
• The full set parsed from the scanned recent filings materializes as df_<id> (the inline list is a preview capped at limit) — query it to aggregate net buy/sell by insider

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secedgar_get_institutional_holdings _tool

• Pass the institutional filer (CIK or full legal name, e.g. 0000102909 for Vanguard) to see what it holds; for the reverse direction — which managers hold a given company — use secedgar_find_holders, whose filer_cik results feed straight back into this tool
• Each holding: issuer name, CUSIP, market value (whole USD), shares/principal, and put/call; raw rows also carry investment discretion
• Sub-lines for the same security are consolidated into distinct positions sorted by value by default — pass consolidate: false for raw filing rows
• Resolves the filing-manager name and reporting quarter from the cover page; target a specific quarter with quarter (e.g. "2025-Q4")
• total_holdings_in_filing counts raw info-table rows, total_positions counts distinct positions after consolidation (both before limit); page with offset, which returns next_offset while rows remain
• The full parsed holdings set materializes as df_<id> for full-filing aggregation or cross-quarter joins on cusip + reporting_period

---

secedgar_find_holders _tool

• Reverse 13F lookup — which institutional managers reported a position in an issuer, for one reporting quarter. Searching by cusip matches the identifier the 13F information table itself carries (the precise path); the name path both under-matches (managers write names differently) and over-matches (unrelated issuers sharing a word)
• A CUSIP is not derivable from a ticker anywhere in EDGAR — read one off any secedgar_get_institutional_holdings result, or fall back to the name path
• quarter targets a reporting period ("2026-Q1"); omit it for the newest quarter whose 45-day filing deadline has passed — the applied quarter and its filing window are echoed back
• Filings are kept by the period they report, not the date they were filed, so amendments restating an older quarter (roughly 6% of any window) don't land in the wrong quarter's holder list
• Up to 500 filer rows are fetched per call; total_filings reports the full count and dataset.truncated flags when more exist
• The list is unranked — EDGAR search relevance carries no signal about position size; read a manager's actual position by passing its filer_cik to secedgar_get_institutional_holdings

---

secedgar_get_beneficial_owners _tool

• The 5%-and-over stakes in an issuer — the blockholder layer between Form 4 insiders and 13F portfolios; input is the issuer, the company being held
• 13D is the activist form and carries the filer's stated purpose of the transaction; 13G is the passive form and has no purpose item at all — filter with form_kind
• Every reporting person is listed separately — voting power, dispositive power, and percent of class are reported per person even on a joint filing where several funds and their controlling principal report the same underlying shares, so summing those percentages double-counts the position
• Coverage starts 2024-12-18, when SEC replaced the legacy SC 13D / SC 13G text filings with structured XML; earlier stakes are readable but not parseable, and legacy_filings_before_coverage reports how many the issuer has
• Amendments carry the current position and are included by default; include_amendments=false leaves only the filings that opened a position
• The full parsed set registers as df_<id>, one row per reporting person, so it joins the insider and 13F dataframes on issuer CIK

---

secedgar_get_fund_holdings _tool

• What an ETF or mutual fund owns, from the NPORT-P portfolio report it files each quarter — the inverse of the ownership tools, which answer who owns a company. Input is the fund: a ticker (VOO), a fund series ID (S000002839), or a CIK — name the registrant by CIK unless the fund itself trades under that name
• An NPORT-P covers exactly one fund series and a registrant trust files one report per series per period, so a trust running several funds needs the specific fund named; a registrant resolving to more than one series returns the series list with tickers, and one whose series carry no ticker is routed by reading the series off its newest report
• Every result is dated to report_period_date — reports publish roughly two months after the period they cover, so holdings are the portfolio as of that date, not as of today; publication_lag_days states the gap, and report_date targets an earlier period from available_report_periods
• Positions carry the security name, CUSIP/ISIN/LEI where the filer reports them, share balance, USD value, and percent of net assets, alongside fund-level net assets, total assets, and total liabilities
• Positions come back largest-first by percent of net assets, one page of limit rows from offset; the full report registers as df_<id> for aggregation and for joining the 13F and insider dataframes on CUSIP

---

secedgar_fetch_frames _tool

• Same friendly concept names as secedgar_get_financials, or a raw XBRL tag
• Supports annual (CY2023), quarterly (CY2024Q2), and instant (CY2023Q4I) periods
• Inline response returns one page of the ranked companies (sort + limit), with ticker enrichment; walk further down the ranking with offset, which returns next_offset while companies remain
• The full frames response (all reporters, typically 2k–10k rows) materializes as df_<id>
• related_tags flags alternate-definition tags some filers use as their primary line (e.g. cash → restricted-cash-inclusive total, equity → NCI-inclusive total), so a whole-universe screen on the base tag isn't silently under-inclusive — query those separately
• One call hits one XBRL tag; when a friendly name maps to multiple same-meaning tags, unqueried_tags lists the others to query and combine with an analysis-specific priority

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secedgar_compare_companies _tool

• Compares 2-10 named companies across 1-8 concepts, aligned on calendar periods — the middle shape between secedgar_get_financials (one company over time) and secedgar_fetch_frames (one period across the market)
• One companyfacts read per company, resolved through the same frame dedup and tag priority as secedgar_get_financials
• Balance-sheet and entity-info concepts align on the calendar year or quarter their point-in-time snapshot falls in, so they sit in the same matrix as income-statement lines; each cell keeps its underlying XBRL frame
• periods bounds the inline matrix (1-12, default 4), shrinking further when companies × concepts × periods is too large for one response; the full aligned series always materializes as df_<id>
• A company that fails to resolve is reported in failed_companies and the comparison proceeds with the rest; a company that does not report a concept is reported in gaps with the tags that were tried — never interpolated
• caveats surface a filer missing calendar quarters, a concept that resolved to a retired tag for one company, differing period ends inside one aligned period, and unit mismatches across companies

---

secedgar_search_concepts _tool

• Search by friendly name, label, or raw XBRL tag; an empty search with no filters returns the full catalog
• Filter by statement group (income_statement, balance_sheet, cash_flow, per_share, entity_info) or taxonomy
• Reverse-lookup raw tags like NetIncomeLoss to the supported friendly names
• Surfaces related_tags for concepts with a high-coverage alternate-definition tag (e.g. restricted-cash-inclusive cash) so callers can discover them before screening
• Filtering by taxonomy: "ifrs-full" narrows the catalog to concepts with an IFRS tag confirmed against live 20-F filers — a concept with no IFRS equivalent is left out rather than mapped to a guess
• Returns the same catalog used by secedgar_get_financials, secedgar_fetch_frames, and secedgar://concepts

---

secedgar_dataframe_describe _tool

• Lists every dataframe (df_XXXXX_XXXXX) registered by the data-returning secedgar_* tools — any response carrying a dataset field holds one
• Optional name describes a single dataframe; omit to list every dataframe for the tenant
• Each entry surfaces source tool, query parameters, creation/expiry timestamps, row count, column schema, and whether the dataframe is truncated relative to the upstream source
• Read the column schema here before writing SQL for secedgar_dataframe_query

---

secedgar_dataframe_query _tool

• Runs a single-statement SELECT (standard DuckDB SQL — joins, aggregates, window functions, CTEs) against the dataframes registered by the data-returning secedgar_* tools
• Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected by the framework SQL gate; system catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied at the bridge layer so callers can't enumerate dataframes they don't already hold a handle for
• row_limit caps rows materialized in the response (default 1000, max 10000); a capped result reports row_count_capped: true with row_count as that cap rather than a total — a SQL LIMIT exactly equal to the cap is indistinguishable from an exact result and reported as such
• register_as persists the result as a new dataframe (df_XXXXX_XXXXX) with a fresh TTL, to chain analyses without re-running the source query
• BIGINT columns (XBRL value, COUNT/SUM results) serialize as JSON strings to preserve precision past 2^53 — cast to DOUBLE in projections for inline arithmetic

---

secedgar_dataframe_drop _tool

• Drops a canvas dataframe by name; idempotent — returns dropped: false when nothing matched
• Opt-in via EDGAR_DATAFRAME_DROP_ENABLED=true — off by default since the per-table TTL already reclaims canvas tables, and this is the only destructive tool on the server
• Off, the tool is registered through disabledTool(): absent from tools/list and uncallable, but shown on the HTTP landing page in a disabled group naming the reason and the flag that enables it

---

secedgar://concepts _resource

• XBRL financial concepts grouped by statement (Income Statement, Balance Sheet, Cash Flow, Per Share, Entity Info), returned as text/markdown
• Maps the friendly names accepted by secedgar_get_financials and secedgar_fetch_frames to their underlying XBRL tags

---

secedgar://filing-types _resource

• Common SEC filing types with descriptions, cadence, and typical use cases, returned as text/markdown
• Includes the full 8-K item-code decode tables for both numbering regimes (the current dotted scheme and the pre-2004-08-23 legacy integers)
• Helps choose the forms parameter for secedgar_search_filings, the form_types filter for secedgar_company_search, or the items filter for secedgar_get_material_events

---

secedgar_company_analysis _prompt

• Arguments: company (name, ticker, or CIK) required; focus_areas free-text optional (e.g. "revenue growth, debt levels, insider activity") — omitted, it performs a general analysis
• Baseline workflow: company identification, financial trends, recent-filing review, and material events, each routed through the corresponding secedgar_* tool, closing with a peer comparison via secedgar_fetch_frames
• focus_areas mentioning insider, institutional, or blockholder/activist terms adds the matching ownership step — insider transactions (Form 4/4-A), institutional holdings (secedgar_find_holders then secedgar_get_institutional_holdings), or 5%+ blockholders (13D/13G) — the generic word "ownership" adds all three
• Returns a single user-role message carrying the numbered workflow and a findings template to fill in

Features

Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.

EDGAR-specific:

• Rate-limited HTTP client honoring SEC's 10 req/s limit with automatic inter-request delay; a 429 fails fast with a cool-down hint instead of retrying, since SEC's own block window outlasts any retry budget
• CIK resolution from tickers (including ETFs and mutual funds via company_tickers_mf.json), current and former company names, or raw CIK numbers, with local caching, corporate-suffix normalization, and near-match trigram suggestions on zero-result queries
• Friendly XBRL concept name mapping with historical tag-change handling and a searchable, reverse-lookupable concept catalog
• HTML-to-text conversion for filing documents, with heading detection and offset-based paging for oversized filings
• Opt-in local SQLite mirror of company_tickers + XBRL company-facts (EDGAR_MIRROR_ENABLED) serves CIK resolution and financials from disk instead of the live API

Agent-friendly output:

• In-conversation SQL analytics — data-returning tools materialize their full result as a DuckDB-backed canvas dataframe (df_<id>); inspect its columns with secedgar_dataframe_describe, then query with secedgar_dataframe_query
• Discriminated outputs — source fields on merged filing-search rows (efts/submissions/full-index), typed caveats entries for series staleness and fiscal-Q4 gaps, and gaps/failed_companies rows instead of silent omission
• Graceful partial failure — secedgar_compare_companies returns every resolved company alongside failed_companies and per-concept gaps rather than failing the whole request
• Provenance on scan and staleness — history_scanned_through, publication_lag_days, and dataset.truncated let agents reason about scan depth, report lag, and completeness

Getting started

Public Hosted Instance

A public instance is available at https://secedgar.caseyjhand.com/mcp — no installation required. Point any MCP client at it via Streamable HTTP:

{
  "mcpServers": {
    "secedgar-mcp-server": {
      "type": "streamable-http",
      "url": "https://secedgar.caseyjhand.com/mcp"
    }
  }
}

Self-Hosted / Local

Add the following to your MCP client configuration file.

{
  "mcpServers": {
    "secedgar-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/secedgar-mcp-server@latest"],
      "env": {
        "EDGAR_USER_AGENT": "YourAppName [email protected]",
        "MCP_TRANSPORT_TYPE": "stdio"
      }
    }
  }
}

Or with npx (no Bun required):

{
  "mcpServers": {
    "secedgar-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/secedgar-mcp-server@latest"],
      "env": {
        "EDGAR_USER_AGENT": "YourAppName [email protected]",
        "MCP_TRANSPORT_TYPE": "stdio"
      }
    }
  }
}

Or with Docker:

{
  "mcpServers": {
    "secedgar-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "MCP_TRANSPORT_TYPE=stdio",
        "-e", "EDGAR_USER_AGENT=YourAppName [email protected]",
        "ghcr.io/cyanheads/secedgar-mcp-server:latest"
      ]
    }
  }
}

For Streamable HTTP, set the transport and start the server:

MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp

Prerequisites

• Bun v1.3.0 or higher (or Node.js v24+).
• A SEC EDGAR User-Agent string — any "AppName [email protected]" format works; no account or key required.

Installation

1. Clone the repository:

git clone https://github.com/cyanheads/secedgar-mcp-server.git

2. Navigate into the directory:

cd secedgar-mcp-server

3. Install dependencies:

bun install

4. Build:

bun run build

Configuration

All configuration is validated at startup via Zod schemas in src/config/server-config.ts. Key environment variables:

Variable	Description	Default
EDGAR_USER_AGENT	Required. User-Agent header for SEC compliance. Format: "AppName [email protected]". SEC blocks IPs without a valid User-Agent.	—
EDGAR_RATE_LIMIT_RPS	Max requests/second to SEC APIs. Do not exceed 10.	10
EDGAR_TICKER_CACHE_TTL	Seconds to cache the company tickers lookup file.	3600
EDGAR_DATASET_TTL_SECONDS	Per-table TTL for canvas-registered dataframes. Sliding window touched on every dataframe op.	86400
EDGAR_DATAFRAME_DROP_ENABLED	Set to true to expose secedgar_dataframe_drop — the only destructive tool on this server. Off by default; TTL handles cleanup, and the tool is still listed on the HTTP landing page as disabled, with the flag that enables it.	false
EDGAR_MIRROR_ENABLED	Enable the local SQLite mirror of company_tickers + XBRL company-facts so CIK resolution and financials read from disk instead of the live API. Node/Bun only (skipped on Workers). Bootstrap once with bun run mirror:init.	false
EDGAR_MIRROR_PATH	Directory holding the mirror SQLite databases.	./data/edgar-mirror
EDGAR_MIRROR_REFRESH_CRON	Cron for the in-process nightly refresh (HTTP transport only). Recommended 0 9 * * *. Omit to refresh out-of-band via bun run mirror:refresh.	—
EDGAR_MIRROR_FALLBACK_LIVE	When the mirror misses (not yet synced, or a filing newer than the last refresh), fall back to the live SEC API. Set false for strict mirror-only reads.	true
CANVAS_PROVIDER_TYPE	Canvas engine. Defaults to duckdb; set to none to disable the canvas.	duckdb
MCP_TRANSPORT_TYPE	Transport: stdio or http	stdio
MCP_HTTP_PORT	HTTP server port	3010
MCP_AUTH_MODE	Authentication: none, jwt, or oauth	none
MCP_LOG_LEVEL	Log level (debug, info, warning, error, etc.)	info
LOGS_DIR	Directory for log files (Node.js only).	<project-root>/logs

See .env.example for the full list of optional overrides.

Running the server

Local development

• Build and run the production version:

  bun run rebuild
  bun run start:http   # or start:stdio
  

• Run checks and tests:

  bun run devcheck     # Lints, formats, type-checks
  bun run test         # Runs test suite
  

Docker

docker build -t secedgar-mcp-server .
docker run -e EDGAR_USER_AGENT="MyApp [email protected]" -p 3010:3010 secedgar-mcp-server

The image ships the mirror CLI, so the local mirror (EDGAR_MIRROR_ENABLED) can be bootstrapped, inspected, and refreshed inside a running container:

docker exec <container> bun run mirror:verify    # sync status + sample reads
docker exec <container> bun run mirror:init      # one-time bootstrap (downloads the SEC bulk archive)
docker exec <container> bun run mirror:refresh   # re-ingest when the archive has been rebuilt

Project structure

Directory	Purpose
src/mcp-server/tools/definitions/	Tool definitions (*.tool.ts). Fourteen SEC EDGAR tools plus three dataframe_* tools for SQL analytics.
src/mcp-server/resources/definitions/	Resource definitions. XBRL concepts and filing types.
src/mcp-server/prompts/definitions/	Prompt definitions. Company analysis prompt.
src/services/edgar/	SEC EDGAR API client, XBRL concept mapping, HTML-to-text conversion.
src/services/canvas-bridge/	Adapter over the framework DataCanvas: df_<id> minting, all-nullable schema derivation, per-table TTL bookkeeping, bridge-layer system-catalog SQL deny.
src/config/	Server-specific environment variable parsing and validation with Zod.
tests/	Unit and integration tests, mirroring the src/ structure.

Development guide

See CLAUDE.md and AGENTS.md for development guidelines and architectural rules. The short version:

• Handlers throw, framework catches — no try/catch in tool logic
• Use ctx.log for logging, ctx.state for storage
• Register new tools and resources in the createApp() arrays
• Wrap external SEC EDGAR calls: validate the raw response → normalize to a domain type → return the output schema; never fabricate a missing XBRL field — report it under gaps instead

Contributing

Issues are welcome. Run checks and tests before submitting:

bun run devcheck
bun run test

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for details.