FAOSTAT MCP is a Model Context Protocol (MCP) server that exposes the FAOSTAT API as discoverable tools for AI assistants. It enables AI agents, developers, and researchers to query and retrieve UN food, agriculture, fisheries, forestry, and nutrition statistics using natural language, with no need for direct API calls. Designed for integration with MCP-compatible clients (like Claude, Cursor, and Windsurf), it offers caching, auto-retry, and comprehensive access to FAOSTAT's global database.
Visit FAOSTAT MCP's official website for product details and getting started.
Comprehensive API documentation and usage examples for FAOSTAT MCP.
Join discussions and find answers related to FAOSTAT MCP on GitHub.
Explore example queries and applications of the FAOSTAT MCP API.
Discussion platform for users and developers to share insights and troubleshoot issues.
A collection of example queries demonstrating how to use the FAOSTAT MCP with AI assistants.