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Tools

5 tools for discovering and querying Eurostat statistical datasets:

Tool	Description
eurostat_search_datasets	Search the Eurostat catalogue by keyword — returns codes, descriptions, period coverage, and theme breadcrumbs
eurostat_browse_themes	Navigate the Eurostat theme hierarchy — list root themes or drill into subthemes and datasets
eurostat_get_dataset_info	Fetch metadata for a dataset: dimensions with sample values, time range, observation count, and last-update date
eurostat_get_dimension_values	List all valid codes for a specific dimension (e.g., all geo codes, all unit codes); supports NUTS hierarchy filtering
eurostat_query_dataset	Fetch decoded statistical observations with dimension filters, NUTS geo-level, and time-range controls

eurostat_search_datasets

Search the Eurostat dataset catalogue by keyword.

• Tokenized keyword match — whitespace-separated tokens are ANDed case-insensitively across each dataset's label, theme breadcrumb, and code, so word order and theme-named queries resolve without a verbatim label
• Returns code, label, type (dataset/table), period coverage, observation count, and theme breadcrumb
• Cursor pagination: limit (1–100, default 20) sets the page size, totalMatches reports the full count, and passing the returned nextCursor back as cursor pages through every match over a stable order
• nextStep hint on each result points at the next tool to call
• Catalogue loaded once per session from the Eurostat TOC file
• Pair with eurostat_browse_themes for structured domain exploration when keywords are unclear

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eurostat_browse_themes

Navigate the Eurostat theme tree.

• Without theme_code: returns the top-level themes (Economy and finance, Population, Transport, etc.)
• With theme_code: returns immediate children — subtheme folders and datasets in that branch
• Each entry includes code, label, type (folder/dataset/table), data period, and observation count where available
• Returns a breadcrumb path from root to the current node, plus a nextStep hint suited to the level (drill into folders or inspect a dataset)
• Use for structured discovery when you know the domain but not the exact dataset code

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eurostat_get_dataset_info

Fetch metadata for a Eurostat dataset before querying it.

• Returns all dimensions with their codes, labels, and up to 10 sample values each
• Reports overall time range and total observation count across all periods
• Uses a minimal Statistics API call (most recent period only) for efficiency
• For dimensions with more than 10 values, use eurostat_get_dimension_values for the full list
• Provides a link to the ESMS metadata page when available

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eurostat_get_dimension_values

List all valid values for a specific dataset dimension.

• Retrieves the complete set of valid codes and labels for any dimension (unit, na_item, geo, etc.)
• For the geo dimension, supports NUTS hierarchy filtering: aggregate (EU/EA totals), country (41 states), nuts1 (127 major regions), nuts2 (309 basic regions), nuts3 (1,343 small regions)
• Prevents silent no-data returns — invalid dimension values in eurostat_query_dataset return nothing without error; verify codes here first

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eurostat_query_dataset

Fetch statistical data from a Eurostat dataset.

• Accepts dimension filters as a map of {dimension_code: [value1, value2, ...]}
• NUTS geo-level filter (aggregate, country, nuts1, nuts2, nuts3) — mutually exclusive with a geo key in filters
• Time range via since_period/until_period (e.g., "2020", "2023-Q1") or last_n_periods for the N most recent
• Returns decoded observations with dimension codes and labels, numeric values, and status flags (p = provisional, e = estimated, etc.)
• Reports total observation count, missing value count, and effective time range of the result
• Async-response detection — large unfiltered queries return an actionable error with filter guidance rather than silently timing out

Resource

Type	Name	Description
Resource	eurostat://dataset/{dataset_code}	Dataset metadata (dimensions, time range, obs count, last-updated) accessible by URI for cache-injectable context

Features

Built on @cyanheads/mcp-ts-core:

• Declarative tool definitions — single file per tool, framework handles registration and validation
• Unified error handling across all tools
• Pluggable auth (none, jwt, oauth)
• Swappable storage backends: in-memory, filesystem, Supabase, Cloudflare KV/R2/D1
• Structured logging with optional OpenTelemetry tracing
• Runs locally (stdio/HTTP) or on Cloudflare Workers from the same codebase

Eurostat-specific:

• Session-level in-memory cache for the TOC file — loaded once, reused across all search and browse calls
• JSON-stat 2.0 stride-based decoder for the Statistics API response format
• Async-response detection — Eurostat returns a warning object rather than an error for over-limit queries; the server intercepts it and returns an actionable error with filter guidance
• NUTS hierarchy geo-level filtering across query and dimension-value tools
• Status flag decoding (provisional, estimated, definition differs, etc.)

Agent-friendly output:

• Discovery workflow: eurostat_search_datasets / eurostat_browse_themes → eurostat_get_dataset_info → eurostat_get_dimension_values → eurostat_query_dataset
• Invalid dimension codes in query filters silently return no data from Eurostat — the eurostat_get_dimension_values tool prevents this by letting agents verify codes first
• Structured error contracts with typed reasons and recovery hints on all tools

Getting started

Public Hosted Instance

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

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

Self-Hosted / Local

Add the following to your MCP client configuration file.

{
  "mcpServers": {
    "eurostat-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/eurostat-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with npx (no Bun required):

{
  "mcpServers": {
    "eurostat-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/eurostat-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with Docker:

{
  "mcpServers": {
    "eurostat-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "MCP_TRANSPORT_TYPE=stdio", "ghcr.io/cyanheads/eurostat-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 v1.3.2 or higher. No API key required — Eurostat's dissemination API is public.

Installation

1. Clone the repository:

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

2. Navigate into the directory:

cd eurostat-mcp-server

3. Install dependencies:

bun install

Configuration

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

Variable	Description	Default
MCP_TRANSPORT_TYPE	Transport: stdio or http	stdio
MCP_HTTP_PORT	HTTP server port	3010
MCP_HTTP_ENDPOINT_PATH	HTTP endpoint path	/mcp
MCP_PUBLIC_URL	Public origin override for TLS-terminating reverse-proxy deployments	none
MCP_AUTH_MODE	Authentication: none, jwt, or oauth	none
MCP_LOG_LEVEL	Log level (debug, info, warning, error, etc.)	info
MCP_GC_PRESSURE_INTERVAL_MS	Opt-in Bun-only forced-GC pressure loop (ms). Recommended starting point if heap growth is observed: 60000.	0 (disabled)
LOGS_DIR	Directory for log files (Node.js only)	<project-root>/logs
STORAGE_PROVIDER_TYPE	Storage backend: in-memory, filesystem, supabase, cloudflare-kv/r2/d1	in-memory
EUROSTAT_BASE_URL	Eurostat API base URL	https://ec.europa.eu/eurostat/api/dissemination
EUROSTAT_REQUEST_TIMEOUT_MS	HTTP request timeout in ms	30000
OTEL_ENABLED	Enable OpenTelemetry	false

Running the server

Local development

• Build and run the production version:

  # One-time build
  bun run rebuild
  
  # Run the built server
  bun run start:http
  # or
  bun run start:stdio
  

• Run checks and tests:

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

Project structure

Directory	Purpose
src/mcp-server/tools	Tool definitions (*.tool.ts). Five tools for discovery and data access.
src/mcp-server/resources	Resource definitions. Dataset metadata resource.
src/services/eurostat-catalogue	Catalogue service — fetches and parses the Eurostat TOC TXT file; session-level in-memory cache.
src/services/eurostat-data	Data service — Statistics API HTTP client, JSON-stat 2.0 decoder, async-response detection.
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 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

Contributing

Issues and pull requests 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.