Typesense MCP Server is a Model Context Protocol (MCP) server implementation that provides AI models with access to Typesense search capabilities. It enables LLMs to discover, search, and analyze data stored in Typesense collections by exposing collection schemas, search tools, and analytical prompts through MCP resources and prompts. The server exposes Collection Schemas via typesense:// collections/<collection>, including collection name, description, and document count, and presents a JSON schema for schema access. It offers tools such as typesense_list_collections for zero-conf discovery of available collections and their schemas; typesense_query for full-text search with filtering, sorting, and pagination; typesense_get_document for retrieving a specific document by ID; and typesense_collection_stats for detailed collection metadata. Prompts like analyze_collection and search_suggestions assist in obtaining schema insights and recommended search strategies. Resource templates (typesense_search and typesense_collection) support constructing search queries and viewing collection details. The server can be installed via npm or mcp-get, supports development workflows, and logs to /tmp/typesense-mcp.log. Claude Desktop configuration guidance is provided for integration.