Find relevant blockchain blocks using semantic search with AI-powered vector similarity matching. Search Ethereum blocks by natural language queries to locate specific blockchain data.
Search for entities and their relations via text or vector similarity on the MCP server, leveraging libSQL for efficient semantic knowledge storage and retrieval.
Enables vector similarity search in Turso databases by querying specific vectors within a table, returning results based on similarity for advanced data analysis.
Perform vector similarity searches in Baidu Vector Database by combining vector matching and scalar attribute filtering for precise data retrieval. Specify table, vector, and optional filters to get relevant results efficiently.
Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
Provides AI coding agents with persistent, long-term memory through local semantic search and SQLite storage. It enables agents to save and retrieve architectural decisions or project context across different conversation sessions without requiring cloud services.