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MCP Pinecone Vector Database Server

by zx8086

Data/DatabasesPineconeVector DatabaseRAGConfluenceembeddings

This project implements a Model Context Protocol (MCP) server for reading and writing vectorized information to a Pinecone vector database. It supports RAG-processed PDF data and Confluence data.

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What is MCP Pinecone Vector Database Server?

The MCP Pinecone Vector Database Server is a server that allows you to interact with a Pinecone vector database using the Model Context Protocol (MCP). It provides tools for searching, adding, deleting, and processing vectorized data, particularly designed for RAG applications and Confluence data integration.

How to use MCP Pinecone Vector Database Server?

  1. Clone the repository.
  2. Install dependencies using bun install.
  3. Configure the .env file with your Pinecone and OpenAI API keys.
  4. Start the server using bun src/index.ts.
  5. Use the example client or the provided tools to interact with the server.

Key features of MCP Pinecone Vector Database Server

  • Search for similar documents using text queries

  • Add new vectors to the database with custom metadata

  • Process and upload Confluence data in batch

  • Delete vectors by ID

  • Uses Pinecone vector database

Use cases of MCP Pinecone Vector Database Server

  • Semantic search over documents

  • Building RAG applications with Pinecone

  • Indexing and searching Confluence content

  • Content recommendation systems

  • Knowledge base retrieval

FAQ from MCP Pinecone Vector Database Server

What is MCP?

MCP stands for Model Context Protocol, a protocol for interacting with models and data sources.

What is Pinecone?

Pinecone is a vector database that allows you to store and search high-dimensional vectors.

What is RAG?

RAG stands for Retrieval-Augmented Generation, a technique for improving the quality of generated text by retrieving relevant information from a knowledge base.

How do I configure the server?

You need to configure the .env file with your Pinecone and OpenAI API keys and other database connection details.

Can I use this server with other vector databases?

Currently, the server is specifically designed to work with Pinecone. Support for other vector databases may be added in the future.