Meilisearch MCP Server

Example Use Cases

• 1

  Create, update, and manage Meilisearch indices and their primary keys via natural language commands.

• 2

  Perform advanced searches (filters, sorting, facets, multi-index, semantic and hybrid search) and return relevant results to users.

• 3

  Monitor and manage Meilisearch instance health, tasks, API keys, and index settings programmatically.

Description

This MCP server provides a bridge between any MCP-compatible client and a Meilisearch instance, enabling LLMs and agents to create and manage indexes, add or update documents, run advanced searches (including multi-index, semantic and hybrid search), and manage settings and API keys. It is implemented in Python, distributed on PyPI and Docker, and designed for dynamic connections and natural-language control of Meilisearch. It exposes comprehensive functionality such as task monitoring, health checks, and system stats, making Meilisearch accessible to AI assistants without learning the native API.

Capabilities(26 total)