Meilisearch MCP Server

Example Use Cases

• 1

  Create, update, or delete Meilisearch indexes and manage index settings programmatically.

• 2

  Add, update, remove, or retrieve documents and perform complex searches (including multi-search) against Meilisearch.

• 3

  Monitor and manage asynchronous Meilisearch tasks, perform health/version checks, or experiment with vector search features.

Description

This project implements a Model Context Protocol (MCP) server for Meilisearch, enabling AI assistants and tools to interact with Meilisearch programmatically. It provides endpoints and tools for index and document management, searching (including experimental vector search), settings and task management, and system operations. The server includes integration scripts for Claude Desktop and Cursor and can be run locally, via Docker, or used in development mode for contribution and testing.