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pinecone Claude Code Plugin

Category
Database
Topics
Databases & Storage · AI Agents & AI App Development
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-07-16 (UTC)
Source (GitHub) last updated
2026-08-14 (UTC) (13 days ago)

The explanation below is AI-generated. Please verify it against the sources.

This plugin adds Pinecone vector database functionality to Claude Code through slash commands and a bundled MCP server. According to the README, /pinecone:quickstart scaffolds a Python project and generates an AGENTS.md file, while /pinecone:query lets you search integrated indexes using natural language. Other commands cover full-text/hybrid search, Pinecone Assistant document Q&A, CLI usage, and MCP tool reference. Using it requires a Pinecone API key, and the Assistant-related commands additionally require the uv Python tool to be installed. It is intended for developers building semantic search, RAG, and recommendation-style applications on top of Pinecone.

About the service

Pinecone is a managed vector database service built for AI applications. Per the Pinecone homepage, it acknowledges writes quickly, indexes data automatically, and aims to keep query latency stable as data scales, with a web console for creating and monitoring indexes. It also lists enterprise security and compliance certifications such as SOC 2, HIPAA, GDPR, and ISO 27001.

What you can do with pinecone

  • Run /pinecone:quickstart to scaffold a Python project and generate an AGENTS. md file
  • Use /pinecone:query to search integrated Pinecone indexes with natural language
  • Use /pinecone:full-text-search for hybrid BM25 and vector/sparse search workflows, including a bundled ingest helper script
  • Use /pinecone:cli and /pinecone:mcp for guidance on the Pinecone CLI and MCP server tools
  • Call MCP server tools such as list-indexes, describe-index, create-index-for-model, upsert-records, search-records, and rerank-documents

Sources

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