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Meilisearch Hybrid Search MCP Server

@miiton

关于 Meilisearch Hybrid Search MCP Server

A mcp server that supports hybrid search for meilisearch written in Go

基本信息

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搜索

运行时

go

传输方式

stdio

发布者

miiton

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

工具

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概览

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

FAQ from Meilisearch Hybrid Search MCP Server

What does the hybrid_search tool do?

It performs a hybrid search on the configured Meilisearch index, combining keyword matching with semantic vector search according to the specified semantic_ratio.

What are the runtime requirements?

You need Go to build the server, and a running Meilisearch instance that has at least one embedder configured. The server itself runs as a binary.

How do I configure the server?

All configuration is done through environment variables: MEILI_HOST, MEILI_API_KEY, MEILI_INDEX, MEILI_EMBEDDER, and optionally MEILI_FILTERABLE_ATTRIBUTES. Set them before starting the server.

What transport protocol does the server use?

It communicates over standard input/output (stdio), following the MCP protocol for tool-based servers.

Can I filter search results?

Yes. Provide the filterable_attribute and filter_word arguments to the hybrid_search tool. The attribute name must be a filterable attribute in your Meilisearch index settings.

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