meilisearch-mcp

meilisearch-mcp

3.2

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The Meilisearch MCP Server is a Model Context Protocol server implementation designed to facilitate interaction between AI assistants and Meilisearch through a standardized interface.

The Meilisearch MCP Server is a robust implementation of the Model Context Protocol (MCP) that allows AI assistants to seamlessly interact with Meilisearch. This server provides a standardized interface for managing indexes, documents, and search operations, making it easier for developers to integrate Meilisearch capabilities into their applications. With features like index and document management, search capabilities, and system operations, the server is designed to handle a wide range of tasks efficiently. Additionally, it offers experimental vector search capabilities, which are particularly useful for advanced search scenarios. The server can be easily set up using Docker, and it supports integration with platforms like Claude for Desktop and Cursor, enhancing its usability across different environments.

Features

  • Index Management: Create, update, and delete indexes.
  • Document Management: Add, update, and delete documents.
  • Search Capabilities: Perform searches with various parameters and filters.
  • Settings Management: Configure index settings.
  • Task Management: Monitor and manage asynchronous tasks.

Tools

  1. create-index

    Create a new index

  2. get-index

    Get information about an index

  3. list-indexes

    List all indexes

  4. update-index

    Update an index

  5. delete-index

    Delete an index