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Data.gouv MCP Server

Data.gouv MCP Server

โ˜… 4.2 ๐Ÿ”– 100 saves ๐Ÿ’ฐ Freemium DataGitHub

Data.gouv MCP Server is an open-source project on GitHub with about 1,602 stars, most recently updated in 2026. Datagouv MCP is the official Model Context Protocol server for data.gouv.fr, the French national open data platform. It lets AI chatbots such as Claude, ChatGPT and Gemini search, explore and analyze public datasets directly through conversation, instead of forcing users to browse the portal manually.

Overview

Published on GitHub under the MIT license, Data.gouv MCP Server has attracted a community of about 1,602 stars, which places it among the more visible open-source AI projects in its niche. Development was still active as of 2026, based on the repository’s latest updates. Because the full source code is public, teams can audit how it works, adapt it to their own stack, and self-host it rather than depending on a closed hosted product.

The repository is tagged with topics including mcp, mcp-server, open-data, opendata, which gives a quick picture of where it fits in the open-source AI ecosystem. New users can explore the examples and documentation in the repository to understand the main workflows before integrating it into their own projects, and the public issue tracker shows what the maintainers are actively working on and what the community is asking for.

Key Features

  • Official MCP server for the data.gouv.fr open data platform
  • Lets chatbots search and explore datasets conversationally
  • Analyzes dataset content to answer data questions directly
  • Free public hosted instance with no access restrictions
  • Self-hostable for teams that want their own endpoint
  • MIT licensed and maintained by the data.gouv.fr team

๐Ÿ’ณ Pricing

The public instance is free for everyone, and the server itself is MIT-licensed open source that you can also self-host.

Who Is It For

Data.gouv MCP Server is best suited for open data publishers, civic-tech developers, journalists and analysts who want conversational access to French public datasets, plus AI builders wiring public data into assistants. Anyone evaluating it should start with the GitHub repository, where the documentation, examples and issue tracker show exactly what the current version can do.

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