Meilisearch Hybrid Search MCP Server

What is Meilisearch Hybrid Search MCP Server?

It is an MCP (Model Context Protocol) server that provides a single tool for performing hybrid searches on a Meilisearch index, combining keyword-based search with semantic vector search. It is intended for developers who use Meilisearch with an embedder configured and want to integrate hybrid search capabilities into AI-powered tools via MCP.

How to use Meilisearch Hybrid Search MCP Server?

Set the required environment variables (MEILI_HOST, MEILI_API_KEY, MEILI_INDEX, MEILI_EMBEDDER, and optionally MEILI_FILTERABLE_ATTRIBUTES), build the Go project, and run the binary. The server provides one tool named hybrid_search that accepts a required keywords string and optional semantic_ratio, filterable_attribute, and filter_word arguments.

Key features of Meilisearch Hybrid Search MCP Server

• Executes hybrid searches (keyword + semantic) on a Meilisearch index
• Adjustable balance between keyword and semantic search
• Optional filtering by a document attribute
• Configured entirely via environment variables
• Adheres to the MCP protocol for tool invocation
• Supports any embedder configured in Meilisearch

Use cases of Meilisearch Hybrid Search MCP Server

• Combine exact keyword matching with semantic similarity in a single query
• Adjust search relevance for different content types (e.g., technical docs vs. creative text)
• Filter hybrid search results by specific attribute values (e.g., genre, author)
• Integrate hybrid search into an AI agent or assistant via MCP
• Replace separate keyword and vector search endpoints with one unified tool