MCP Server Agribalyse

What is mcp-server-agribalyse?

mcp-server-agribalyse is a Model Context Protocol (MCP) server that enables Large Language Models to query the ADEME Agribalyse 3.1 dataset. It provides tools, resources, and prompts for retrieving and analyzing environmental impact data (climate impact, water use, ecotoxicity, etc.) on thousands of food products.

How to use mcp-server-agribalyse?

You can inspect server behavior with npx @modelcontextprotocol/inspector uvx run src/agribalyse/server.py or follow logs with mcp dev server.py. To test interactions, run the example client via python client/client.py. Use pytest tests/test_mcp_tools to execute the unit tests.

Key features of mcp-server-agribalyse

• Eight tools for querying rows, aggregating metrics, and retrieving schema.
• Seven resource URIs for exploring dataset fields, files, and columns.
• Seven predefined prompts for product search, comparison, and explanation.
• Based on the FastMCP framework with active maintenance.
• Public API integration – no local database required.
• Full OpenAPI specification available via read_api_docs tool.

Use cases of mcp-server-agribalyse

• Ask an LLM for the carbon footprint of a specific food product.
• Compare two food products by a chosen environmental indicator.
• Retrieve average or percentile values for numeric fields across a filtered subset.
• Explore the dataset schema and available filter values before building complex queries.