pinecone

Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explore indexes. Access the Pinecone MCP server for creating, describing, upserting and querying indexes with Claude. Perfect for developers building semantic search, RAG applications, recommendation systems, and other vector-based applications with Pinecone.

Install

If the official marketplace isn’t added yet, run

Category: Database
GitHub: pinecone-io/pinecone-claude-code-plugin

Good for

Create, list, describe and query Pinecone vector indexes
Use /quickstart to generate AGENTS.md and initialize a Python project
Use /query to explore an index quickly
Build semantic search, RAG and recommendation systems

Getting started

Run /plugin install pinecone@claude-plugins-official in Claude Code
Before starting Claude Code, run export PINECONE_API_KEY="your-api-key-here"
Restart Claude Code, then use /quickstart or /query

Before you install

Requires a Pinecone API key; Pinecone Assistant commands also need uv installed.

Summarized by AI from the project docs; check the official docs before relying on it.

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