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Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.
| Date | Stars |
|---|---|
| 2026-07-24 | 1569 |
| 2026-07-25 | 1570 |
| 2026-07-28 | 1570 |
| 2026-07-30 | 1570 |
| 2026-07-31 | 1574 |
| 2026-08-06 | 1574 |
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# data.gouv.fr MCP Server
<img width="1200" height="675" alt="image" src="https://github.com/user-attachments/assets/5d20e992-349a-4b3b-9a0a-ebe308735cc9" />
> [!TIP]
> Got feedback? [Tell us about it here](https://tally.so/r/KYMboX)
[](https://circleci.com/gh/datagouv/datagouv-mcp)
[](https://opensource.org/licenses/MIT)
Model Context Protocol (MCP) server that allows AI chatbots (Claude, ChatGPT, Gemini, etc.) to search, explore, and analyze datasets from [data.gouv.fr](https://www.data.gouv.fr), the French national Open Data platform, directly through conversation.
Instead of manually browsing the website, you can simply ask questions like "Quels jeux de données sont disponibles sur les prix de l'immobilier ?" or "Montre-moi les dernières données de population pour Paris" and get instant answers.
> [!TIP]
> Use it now: A public instance is available for everyone at https://mcp.data.gouv.fr/mcp with no access restrictions.
> To connect your favorite chatbot, simply follow [the connection instructions below](#-connect-your-chatbot-to-the-mcp-server).
## 🌐 Connect your chatbot to the MCP server
Use the hosted endpoint `https://mcp.data.gouv.fr/mcp` (recommended). If you self-host, swap in your own URL.
The MCP server configuration depends on your client. Use the appropriate configuration format for your client:
[AnythingLLM](#anythingllm) | [Autohand Code](#autohand-code) | [ChatGPT](#chatgpt) | [Claude Code](#claude-code) | [Claude Desktop](#claude-desktop) | [Cursor](#cursor) | [Gemini CLI](#gemini-cli) | [HuggingChat](#huggingchat) | [IBM Bob](#ibm-bob) | [Kiro CLI](#kiro-cli) | [Kiro IDE](#kiro-ide) | [Le Chat (Mistral)](#le-chat-mistral) | [Mistral Vibe](#mistral-vibe-cli) | [OpenCode](#opencode) | [VS Code](#vs-code) | [Windsurf](#windsurf)
### AnythingLLM
1. Locate the `anythingllm_mcp_servers.json` file in your AnythingLLM storage plugins directory:
- **Linux**: `~/.config/anythingllm-desktop/storage/plugins/anythingllm_mcp_servers.json`
- **MacOS**: `~/Library/Application Support/anythingllm-desktop/storage/plugins/anythingllm_mcp_servers.json`
- **Windows**: `C:\Users\<username>\AppData\Roaming\anythingllm-desktop\storage\plugins\anythingllm_mcp_servers.json`
2. Add the following configuration:
```json
{
"mcpServers": {
"datagouv": {
"type": "streamable",
"url": "https://mcp.data.gouv.fr/mcp"
}
}
}
```
For more details, see the [AnythingLLM MCP documentation](https://docs.anythingllm.com/mcp-compatibility/overview).
### Autohand Code
Use the [Autohand Code](https://github.com/autohandai/code-cli/) CLI to register the hosted endpoint:
```shell
autohand mcp add --transport http datagouv https://mcp.data.gouv.fr/mcp
```
Add `--scope project` to keep the registration in the current workspace.
### ChatGPT
*Available for paid plans only (Plus, Pro, Team, and Enterprise).*
1. **Access Settings**: Open ChatGPT in your browser, go to `Settings`, then `Apps and connectors`.
2. **Enable Dev Mode**: Open `Advanced settings` and enable **Developer mode**.
3. **Add Connector**: Return to `Settings` > `Connectors` > `Browse connectors` and click **Add a new connector**.
4. **Configure the connector**: Set the URL to `https://mcp.data.gouv.fr/mcp` and save to activate the tools.
### Claude Code
Use the `claude mcp` command to add the MCP server:
```shell
claude mcp add --transport http datagouv https://mcp.data.gouv.fr/mcp
```
### Claude Desktop
Add the following to your Claude Desktop configuration file (typically `~/.config/Claude/claude_desktop_config.json` on Linux, `~/Library/Application Support/Claude/claude_desktop_config.json` on MacOS, or `%APPDATA%\Claude\claude_desktop_config.json` on Windows):
```json
{
"mcpServers": {
"datagouv": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.datExcerpt of 23,405 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9bcc2bc41a332238, topic:mcp, topic:mcp-server, desc:model context protocol
matched fp:9bcc2bc41a332238, topic:open-data, desc:datasets, readme:datasets