Building apps with Pinecone and Claude Code just got way easier. We've launched the official Pinecone Plugin for Claude Code—now available in the Anthropic Claude Code Plugin Marketplace.This plugin brings Pinecone's vector database and managed RAG service directly into your development workflow, alongside preset skills, slash commands, MCP, and other handy shortcuts to get started building with Claude Code, faster.Search and manage indexes, query Assistants, and build intelligent applications—all without leaving Claude Code.Natural language commands: Just tell Claude what you want, like "search my index for machine learning docs" or "create an assistant from my research-docs folder"Explicit commands: Need precision? Use commands like /pinecone:query or /pinecone:assistant-chat for explicit access to integrated toolingComplete vector database toolkit: Create indexes, upsert vectors, search with metadata filters, get statistics—everything you need to manage your vector data.Generate code for Pinecone: use /pinecone:quickstart to learn how to build with Pinecone, and setup your development environmentManaged RAG with Pinecone Assistant: Upload documents, sync changes, and get cited answers with page numbers. No custom chunking or embedding pipeline required.Getting Started in 60 SecondsInstall the Pinecone Plugin easily from Anthropic's Claude Code marketplace1. Set your API keyAdd your Pinecone API key as an environment variable:export PINECONE_API_KEY=your-api-key-here2. Install the plugin in Claude Codeclaude plugin install pinecone3. Start buildingRestart Claude Code, then ask Claude to use Pinecone:Claude, list my Pinecone indexesBuild a Pinecone Assistant from the pdfs in my local folder, and then suggest some great queries to retrieve themOr use a slash command for semantic search:/pinecone:query query "your query here" index your-index-name
Use the Pinecone Plugin for Claude Code to develop AI Applications Faster | Pinecone
An article on our new plugin for Claude Code, designed to help developers interact with their Pinecone indexes and Assistants using agents.






