← Back to MCP Servers
DatabasesOfficialIntermediate
Pinecone MCP
Vector database operations for AI-powered search and RAG. Create and manage indexes, upsert vectors, query by similarity, and monitor namespace usage. Purpose-built for production embedding storage with serverless scalability.
What is Pinecone MCP?
Pinecone MCP is a Model Context Protocol server published by pinecone-io that lets AI assistants interact with databases services. Once configured, your assistant can call its connected tools in natural language instead of you hand-writing every request against the underlying API.
What Can You Do With It?
- Store and query vectors
- Build semantic search
- Power RAG pipelines
How to Use This Server
- 1. Choose your AI clientAdd Pinecone MCP to an MCP-compatible assistant (Claude, Cursor, VS Code, or any client listed in the official MCP docs).
- 2. Install the serverFollow the install instructions below. Most servers install with a package manager in a few minutes and need only an API key or a local credential.
- 3. Add it to your configurationWrite the server block into your client's config file exactly as the official docs publish — including any arguments, environment variables, and path fields.
- 4. Start askingRestart your client and describe the task in natural language — the assistant uses the server's tools against your real data and services.
Server Specs
- Publisher
- pinecone-io
- Category
- Databases
- Difficulty
- Intermediate
- Tags
- PineconeVector DBRAGSimilarity Search
Get It Set Up
Security note: MCP servers run with the credentials you give them. Only install servers you trust, review tool lists before enabling them, and use scoped credentials (read-only tokens where possible). Axonix is an independent directory, not the publisher of this server.