Pinecone Vector DB

This MCP server, developed by sirmews, enables AI assistants like Claude to interact with Pinecone vector databases for retrieval-augmented generation (RAG) applications. Built with Python, it provides tools for semantic search, document retrieval, and document upsert operations on Pinecone indexes. The implementation stands out by leveraging Pinecone's inference API for embedding generation, simplifying the architecture. By connecting AI capabilities with Pinecone's efficient vector search, this server allows AI systems to augment their knowledge with relevant information from large document collections. It is particularly useful for building AI applications that require real-time access to up-to-date information, such as question-answering systems, chatbots with domain-specific knowledge, or AI-powered research assistants.