data-api-builder vs datagouv-mcp
Side-by-side comparison to help you pick between these two MCP servers.
data-api-builder by Azure | datagouv-mcp by datagouv | |
|---|---|---|
| Stars | ★ 1,410 | ★ 1,460 |
| 30d uses | — | — |
| Score | 53 | 55 |
| Official | — | — |
| Categories | DatabaseDeveloper ToolsCloud Storage | AI / LLM ToolsDatabaseSearch |
| Language | C# | Python |
| Last commit | this month | this month |
data-api-builder · Summary
Azure's Data API Builder provides REST and GraphQL endpoints for Azure databases with upcoming MCP tools support.
datagouv-mcp · Summary
Official MCP server for data.gouv.fr that enables AI chatbots to search and analyze French open data.
data-api-builder · Use cases
- Create REST and GraphQL APIs for Azure databases
- Build secure data access layers for applications
- Generate API endpoints for on-premises databases in any cloud
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
data-api-builder · Install
- Install .NET 8 or later runtime: https://get.dot.net
- Install the DAB command line tool:
``sh dotnet tool install microsoft.dataapibuilder -g ``
- Initialize and configure DAB with:
``sh dab init --database-type mssql --connection-string "@env('my-connection-string')" --host-mode development ``
- Add your database entities and start the server:
``sh dab add Todo --source "dbo.Todo" --permissions "anonymous:*" dab start ``
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.py