Meilisearch MCP Server

@meilisearch

Basic information

About Meilisearch MCP Server

A Model Context Protocol (MCP) server for interacting with Meilisearch through LLM interfaces.

Meilisearch MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "meilisearch-mcp": {
      "command": "uvx",
      "args": [
        "-n",
        "meilisearch-mcp"
      ]
    }
  }
}

Meilisearch MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Meilisearch MCP Server?

The Meilisearch MCP Server is a Model Context Protocol server that allows any MCP-compatible client (including Claude, OpenAI agents, and other LLMs) to interact with Meilisearch through natural conversation. It provides a stdio-based interface for AI assistants to manage search indices, perform searches, and handle data without requiring knowledge of the Meilisearch API.

How to use Meilisearch MCP Server?

Install the package via pip (pip install meilisearch-mcp) or uvx (uvx -n meilisearch-mcp). Configure an MCP client (e.g., Claude Desktop) by adding a server entry to claude_desktop_config.json with the command uvx and args ["-n", "meilisearch-mcp"]. Ensure a running Meilisearch instance is accessible (e.g., via Docker: docker run -d -p 7700:7700 getmeili/meilisearch:v1.28). Environment variables MEILI_HTTP_ADDR and MEILI_MASTER_KEY can set default connection settings.

Key features of Meilisearch MCP Server

Index and document management (create, update, delete)
Smart search with filters, sorting, and facets
Settings configuration for ranking and relevancy
Task monitoring and system operations tracking
API key management for access control
Health monitoring and system statistics

Use cases of Meilisearch MCP Server

Create and manage search indices through natural language commands
Add or update documents in an index via conversation
Search across single or multiple indices with advanced filtering
Fine-tune search settings and ranking rules using AI assistants

Frequently asked questions

What is the Meilisearch MCP Server and what alternatives exist?

The Meilisearch MCP Server connects any MCP-compatible LLM to Meilisearch for natural language interaction. A TypeScript version is also available (see README).

What are the prerequisites and runtime requirements?

Python ≥ 3.9, a running Meilisearch instance, and an MCP-compatible client (e.g., Claude Desktop, OpenAI agents).

How does data flow and where is it stored?

The server communicates with Meilisearch via its HTTP API. Data resides in the Meilisearch instance; this server does not store data locally.

What transport and authentication does it use?

It uses stdio transport. Authentication is via an API key (master key) set in environment variables or updated dynamically through conversation.

Are there any known security considerations?

While hosts and API keys can be added in chat for convenience, this is intended for development only and does not follow best MCP security practices; proper safeguards are required in production.

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