This MCP server implementation provides a Go-based wrapper for Meilisearch, enabling large language models to access Meilisearch's search capabilities through the Model Context Protocol. Developed by cnosuke, it offers tools for index management, document operations, and search functionality, allowing AI assistants like Claude to perform powerful search operations against Meilisearch indexes. The lightweight server supports features such as health checks, creating indexes, adding documents, and executing complex searches with filtering and sorting options, making it ideal for applications requiring AI-assisted information retrieval from structured data.
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Highlight AICheck the status of the Meilisearch server. Parameters: None. Returns: Server health status information.
Retrieve a list of all indexes. Parameters: None. Returns: Array of indexes.
Create a new index. Parameters: uid (required), primary_key (optional). Returns: Creation task information.
Retrieve documents from an index. Parameters: index_uid (required), limit (optional), offset (optional), fields (optional). Returns: Array of documents.
Add documents to an index. Parameters: index_uid (required), documents (required), primary_key (optional). Returns: Addition task information.
Search for documents in an index. Parameters: index_uid (required), query (required), limit (optional), offset (optional), filter (optional), sort (optional). Returns: Search results.