Typesense

Typesense MCP Server provides a bridge between AI assistants and Typesense search engine through a Python implementation using the Model Context Protocol. The server exposes tools for managing collections, documents, and search operations, including vector similarity search capabilities. Built with robust error handling and comprehensive logging, it enables AI assistants to perform operations like creating collections, indexing documents, and executing both keyword and vector searches. The implementation uses environment variables for configuration and can be easily deployed through Cursor, making it valuable for developers who want to integrate powerful search functionality into their AI workflows.