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data-fair/mcp

Want ADEME's open data from inside Claude without writing a single API call? This one wraps the Data Fair catalog that the French ecological transition agency publishes, covering energy, environment, waste, transport and housing. It runs over HTTP or stdio via Docker, and by default exposes six dataset tools under the names earlier clients hard-coded, so anonymous callers can search and query the public catalog straight away. Point it at a Data Fair instance with PORTAL_URL, and you can also pull in the platform's full OpenAPI-derived toolset if you have credentials with the right scopes. It also ships a geocode_address tool backed by the IGN geocoder, handy for joining address-level records to the datasets. Reach for it when you're pulling French public data into an analysis and want the model to do the discovery and querying.

tool
1
transport
HTTP
last updated
Mar 16, 2026
View on GitHub

Tools

1 tools

Public tool metadata for what this MCP can expose to an agent.

geocode_addressAn IGN geocoder tool, the one hand-written tool served by both servers, regardless of scopes.

An IGN geocoder tool, the one hand-written tool served by both servers, regardless of scopes.

No parameter schema in public metadata yet.

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Readme

Data FAIR logo @data-fair/mcp

GitHub License GitHub package.json version
A Model Context Protocol (MCP) server to interact with the Data Fair ecosystem.

Part of the Data Fair ecosystem.

What it serves

Two MCP servers over data-fair's merged platform OpenAPI document (GET /data-fair/api/v1/platform/api-docs.json, annotated with x-agent), turned into tools by @data-fair/openapi-mcp. The document is kept live: re-fetched conditionally on an interval, and clients are notified when the tools change.

  • the platform server — every tool of the document, cut down to what the caller's token scopes allow (toolsForScopes). Always authenticated; tool names carry the datafair_ prefix;
  • the datasets server — the published catalog's six tools under the names earlier clients hard-coded (see Compatibility). Anonymous callers allowed.

View the full README on GitHub

Details

Repository
github.com/data-fair/mcp
Website
github.com/data-fair/mcp
Category
Data & Analytics
Transport
HTTP

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