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Meilisearch MCP Server

by cnosuke

A Go-based wrapper for Meilisearch that functions as a Model Context Protocol (MCP) server. It allows large language models (LLMs) like Claude to access Meilisearch's search capabilities.

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What is Meilisearch MCP Server?

This is a Go application that enables the Meilisearch search engine to be used as an MCP (Model Context Protocol) server, allowing LLMs to leverage Meilisearch's search capabilities.

How to use Meilisearch MCP Server?

First, clone the repository and build the application using make. Configure the connection to your Meilisearch instance via config.yml or environment variables. Start the server using ./bin/mcp-meilisearch server --config config.yml. Integrate with Claude Desktop by adding an entry to your claude_desktop_config.json file, ensuring logs are redirected away from stdio.

Key features of Meilisearch MCP Server

  • Lightweight and fast MCP server

  • Seamless integration with Meilisearch API

  • Interface compliant with the MCP protocol

  • Support for search, index management, and document operations

Use cases of Meilisearch MCP Server

  • Enabling LLMs to search and retrieve information from Meilisearch indexes

  • Providing context to LLMs based on search results

  • Integrating Meilisearch with Claude Desktop

  • Building applications that require search capabilities within an LLM context

FAQ from Meilisearch MCP Server

What is MCP?

MCP stands for Model Context Protocol, a protocol that allows LLMs to access external tools and data.

What is Meilisearch?

Meilisearch is a powerful, fast, open-source search engine.

How do I configure the Meilisearch connection?

You can configure the connection using the config.yml file or environment variables like MEILISEARCH_HOST and MEILISEARCH_API_KEY.

How do I integrate this with Claude Desktop?

Add an entry to your claude_desktop_config.json file, ensuring logs are redirected away from stdio using --no-logs and --log flags.

What tools are available?

Available tools include server management (health check), index management (list, create), document operations (get, add), and search.