Awesome MCPDatabases

meilisearch/meilisearch-mcp

⭐ 195 Python added to this list on 2025-05-14 repository created 2024-12-23

meilisearch-mcp is the official Model Context Protocol server for Meilisearch, the open-source search engine. It runs over stdio and works with any MCP-compatible client, including Claude Desktop, OpenAI agents and other LLM tooling, letting an assistant drive a Meilisearch instance conversationally instead of through its HTTP API. The tool surface covers the main areas of the product. Connection management shows the current settings and allows switching between Meilisearch instances or updating the API key while running, which the README recommends for development rather than production because credentials passed in chat do not follow MCP security best practice. Index operations create indices with a chosen primary key, list them with statistics, fetch detailed metrics and delete them. Document management adds and updates documents, retrieves them with pagination and supports bulk import. Search covers filters, sorting and facets, searching across several indices at once, vector-based semantic search and hybrid keyword-plus-semantic search. Settings tools configure ranking rules, faceting and filtering, searchable attributes and typo tolerance. Further tools create and manage API keys with granular permissions, run health checks, and report system statistics, task progress and version information. It is published on PyPI, installed with pip or run through uvx, and a container image is available on Docker Hub as getmeili/meilisearch-mcp with MEILI_HTTP_ADDR and MEILI_MASTER_KEY environment variables, which the README suggests for setups such as n8n workflows. Python 3.9 or newer and a running Meilisearch instance are required. A separate TypeScript implementation exists. The project is MIT licensed and includes a pytest suite and MCP Inspector instructions for development.

https://github.com/meilisearch/meilisearch-mcp

mcpmcp-servermeilisearchsearchindexingvector-searchpythondocker

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