Find information in vector databases using semantic search with natural language queries. Retrieve relevant matches from stored embeddings based on similarity.
Generate a vector index on a specified field within a table to enable efficient vector similarity searches in Baidu Vector Database. Supports HNSW, HNSWPQ, HNSWSQ index types and L2, COSINE, IP metrics.
Run diagnostics on the vector storage system within the Cursor10x Memory System to identify and resolve issues affecting memory retention and recall for AI assistants.
PG-MCP is an HTTP server implementation that enables AI systems to interact with PostgreSQL databases via MCP, providing tools for querying, connecting to multiple databases, and exploring schema resources. The system enriches context by extracting table/column description from database catalogs.
A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.