pinecone-vector-db-mcp-server

zx8086/pinecone-vector-db-mcp-server

3.1
knowledge_and_memorydatabases

If you are the rightful owner of pinecone-vector-db-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This project implements a Model Context Protocol (MCP) server for interacting with a Pinecone vector database, supporting RAG-processed PDF and Confluence data.

Tools

Functions exposed to the LLM to take actions

search-vectors

Search for similar documents with parameters: query, topK, and filter.

add-vector

Add a single document with parameters: text, metadata, and id.

process-confluence

Process Confluence JSON data with parameters: filePath and namespace.

delete-vectors

Delete vectors with parameters: ids and namespace.

get-stats

Get database statistics (temporarily disabled).

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources

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