Summary

An agent can put things into your vector store as well as search it.

The write side is what makes it more than a search tool: hand it a document and it chunks, embeds and upserts, so the same conversation that failed to find an answer can add the source that would have had it.

What it is

A read-and-write client for one Pinecone index. It embeds and searches, reads a document back out, lists what the index holds, and processes a document into chunks and upserts them.

What you get

Semantic search across the records in the index
A document read back out of the index
Every document in the index, listed
A document chunked, embedded and upserted
Index statistics: record count, dimensions and namespaces

Requirements

Python with the mcp-pinecone package, a Pinecone API key, and an index to point at. Written for Claude Desktop, and works from any client that can launch a local process.

Setup effort

One command plus a key — uv pip install mcp-pinecone, then supply credentials