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mcp-pineconeModel Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

The Model Context Protocol (MCP) server for Pinecone, also known as mcp-pinecone, is a tool that enables reading and writing to a Pinecone index. It provides a basic Retrieval Augmented Generation (RAG) capability. The server offers several tools, including semantic search, reading and listing documents, processing documents, and retrieving Pinecone index statistics. These tools allow users to interact with the Pinecone index, perform operations such as searching records, upserting records, and generating embeddings. The server is designed to work with Claude Desktop and can be installed via Smithery or locally using uv. The tool is written in Python and is available as an open-source project on GitHub.

Key features

  • Semantic search
  • Read document from Pinecone index
  • List all documents in Pinecone index
  • Pinecone index statistics
  • Process document into chunks and upsert into Pinecone index

Pricing

Model
Free
Category
MCP Servers
Rating
No reviews yet

Use cases

Semantic Search

Use the mcp-pinecone server to search for records in the Pinecone index based on a query.

Document Processing and Indexing

Use the mcp-pinecone server to process a document into chunks, generate embeddings, and upsert them into the Pinecone index.

Pros & Cons

Pros

  • Enables reading and writing to a Pinecone index
  • Provides a basic RAG capability
  • Offers multiple tools for interacting with the Pinecone index
  • Supports Claude Desktop integration

Cons

  • The repository is archived and read-only
  • Limited documentation and community support

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Q&A

How do I install and run the MCP server locally?

You can install it via Smithery or directly with Python’s uv tool; the codebase is Python‑based, and the README provides steps to set up the server and connect it to a Pinecone index.

Asked by Yelena Popova · Nov 27, 2025

What are the main limitations I should be aware of before adopting mcp-pinecone?

The repository was archived in November 2025, making it read‑only with limited documentation and community support; also, the RAG functionality is rudimentary and relies on Pinecone’s inference API for embeddings.

Asked by Julia Steiner · Nov 24, 2025

Can mcp-pinecone be integrated with Claude Desktop out of the box?

Yes, the server is designed to work with Claude Desktop via the Model Context Protocol (MCP) client, allowing Claude Desktop to invoke its tools such as semantic search and document upserting.

Asked by Yara Mansour · Oct 16, 2025

Is mcp-pinecone free to use or are there any licensing fees?

mcp-pinecone is an open‑source project released on GitHub under its repository license, so there are no direct licensing fees; you can use it freely, though you still pay for any Pinecone service usage.

Asked by Omar Haddad · Aug 27, 2025

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