The Pinecone MCP Server — Cloud Vector Search With Built-In Reranking

Part of our Databases MCP category . At a glance: 59 GitHub stars, 21 forks, 106 commits, 7 contributors, v0.2.1 (Feb 5, 2026), last commit Mar 6, 3 open issues, 16 open PRs, ~3,115 npm downloads/week, PulseMCP 49K all-time visitors (#527 globally, ~3.9K weekly, #318 this week). The Pinecone MCP server is the official tool for connecting AI coding agents to Pinecone, the managed vector database that pioneered serverless vector search. Instead of writing API calls to manage indexes and query embeddings, your agent can create indexes, upsert records, search across multiple indexes simultaneously, and rerank results — all through natural language. It's first-party, maintained by Pinecone at pinecone-io/pinecone-mcp . With 59 GitHub stars, it's far less adopted than Qdrant's MCP server (1,300 stars) or even Chroma's (515 stars). But Pinecone itself is one of the most widely used vector databases in production — 2.6 billion queries served — and the MCP server reflects a search-first philoso