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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Search and query 8,933 Eurostat datasets — EU economy, demography, trade, and NUTS regional data.

README.md

<div align="center"> <h1>@cyanheads/eurostat-mcp-server</h1> <p><b>Search and query the Eurostat catalogue — EU economy, demography, trade, health, and NUTS regional data via MCP. STDIO or Streamable HTTP.</b> <div>5 Tools • 1 Resource</div> </p> </div>

<div align="center">

![Version](./CHANGELOG.md) ![License](./LICENSE) ![Docker](https://github.com/users/cyanheads/packages/container/package/eurostat-mcp-server) ![MCP SDK](https://modelcontextprotocol.io/) ![npm](https://www.npmjs.com/package/@cyanheads/eurostat-mcp-server) ![TypeScript](https://www.typescriptlang.org/) ![Bun](https://bun.sh/)

</div>

<div align="center">

![Install in Claude Desktop](https://github.com/cyanheads/eurostat-mcp-server/releases/latest/download/eurostat-mcp-server.mcpb) ![Install in Cursor](https://cursor.com/en/install-mcp?name=eurostat-mcp-server&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBjeWFuaGVhZHMvZXVyb3N0YXQtbWNwLXNlcnZlciJdfQ==) ![Install in VS Code](https://vscode.dev/redirect?url=vscode:mcp/install?%7B%22name%22%3A%22eurostat-mcp-server%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40cyanheads%2Feurostat-mcp-server%22%5D%7D)

![Framework](https://www.npmjs.com/package/@cyanheads/mcp-ts-core)

</div>

<div align="center">

Public Hosted Server: https://eurostat.caseyjhand.com/mcp

</div>

---

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

---

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

---

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

---

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

---

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_themeseurostat_get_dataset_infoeurostat_get_dimension_valueseurostat_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
  1. Navigate into the directory:
cd eurostat-mcp-server
  1. 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.

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