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datagouv-mcp vs memory

Side-by-side comparison to help you pick between these two MCP servers.

datagouv-mcp
by datagouv
memory
by modelcontextprotocol
Stars★ 1,460★ 85,748
30d uses
Score5577
Official
Categories
AI / LLM ToolsDatabaseSearch
Knowledge GraphAI / LLM ToolsProductivity
LanguagePythonTypeScript
Last committhis monththis month

datagouv-mcp · Summary

Official MCP server for data.gouv.fr that enables AI chatbots to search and analyze French open data.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

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

memory · Use cases

  • Personalizing AI assistant interactions by remembering user preferences, history, and relationships
  • Building context-aware chat applications that maintain conversation history
  • Creating knowledge bases that persist across AI model sessions

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 -d

Manual Installation

# Install dependencies
uv sync

# Copy environment file
cp .env.example .env

# Start the server
uv run main.py

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.