datagouv-mcp vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
datagouv-mcp by datagouv | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 1,460 | ★ 85,748 |
| 30d uses | — | — |
| Score | 55 | 76 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDatabaseSearch | Web ScrapingAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
datagouv-mcp · Summary
Official MCP server for data.gouv.fr that enables AI chatbots to search and analyze French open data.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
datagouv-mcp · Use cases
- Ask about real estate prices in specific French regions
- Retrieve latest demographic data for French cities
- Search and analyze public datasets through conversational AI
fetch · Use cases
- LLMs reading news articles and blogs
- Content analysis of web pages
- Retrieving information from public websites
- Chunked reading of large web documents
datagouv-mcp · Install
Installation
Using Public Hosted Server
The recommended approach is to use the public instance at https://mcp.data.gouv.fr/mcp.
Claude Desktop Configuration
Add to your Claude Desktop configuration file:
{
"mcpServers": {
"datagouv": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.data.gouv.fr/mcp"
]
}
}
}Local Installation with Docker
git clone git@github.com/datagouv/datagouv-mcp.git
cd datagouv-mcp
docker compose up -dManual Installation
# Install dependencies
uv sync
# Copy environment file
cp .env.example .env
# Start the server
uv run main.pyfetch · Install
Installation
**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:
uvx mcp-server-fetch**Using PIP** Install via pip:
pip install mcp-server-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}