pinecone Claude Code Plugin
Claude Code PluginClaude CodeDatabaseDatabases & StorageAI Agents & AI App DevelopmentThe 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