AIDataNordic/Food-Recipe-MCP

Overview

A production-grade semantic search server for food recipes. It is built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense and sparse retrieval and cross-encoder reranking.

Best for

Best for
Developers building food-related AI assistants or agents using MCP

Use cases

• Searching food recipes in AI agent workflows
• Integrating recipe data into MCP-compatible tools
• Retrieving recipes using hybrid semantic search

Notes

A production-grade semantic search server for food recipes. It is built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense and sparse retrieval and cross-encoder reranking.

0 stars on GitHub. Last updated 2026-05-20. Licensed MIT.

Use cases

• Searching food recipes in AI agent workflows
• Integrating recipe data into MCP-compatible tools
• Retrieving recipes using hybrid semantic search

Pros

• Hybrid retrieval with reranking yields relevant results
• Large curated dataset of 50,000 recipes
• Designed for integration with MCP-based agents

Cons

• Requires an MCP client or framework to use
• Limited to the food domain only
• No managed hosting or API endpoint provided

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