Cursor Plugin

Install the official Pinecone plugin for Cursor to manage indexes, run vector search, and build RAG apps from the editor using MCP and slash commands.

The official Pinecone plugin for Cursor provides AI-powered skills, MCP server integration, and slash commands directly in your editor. Use natural language to manage indexes, query data, build RAG applications, and create document Q&A assistants — all with up-to-date Pinecone API knowledge.

Features

• Built-in skills for index management, semantic search, full-text search, assistant creation, and more
• Bundled MCP server (@pinecone-database/mcp) for direct Pinecone operations from Cursor Agent
• Slash commands like /pinecone-quickstart and /pinecone-query for quick access
• Natural language activation — Cursor Agent invokes the right skill automatically based on your conversation

Prerequisites

• A Pinecone API key
• Cursor installed
• Node.js v18+ (required for the bundled MCP server)
• uv installed (optional, runs bundled Python scripts)
• Pinecone CLI installed (optional, enables the pinecone-cli skill)

Installation

1. Set your API key

   Add your Pinecone API key to a .env file at your workspace root:

   PINECONE_API_KEY=your-key
   

   Cursor loads this file into the MCP server via its envFile field, so you don’t need to export the key in your shell.

2. Install the plugin

   In Cursor chat, run:

   /add-plugin pinecone
   

   Or install directly from the Cursor Marketplace.

3. Verify the installation

   Open Cursor Agent chat and run /pinecone-help to confirm the skills are loaded. You can also check:

   • Skills: Cursor Settings > Rules — listed under “Agent Decides”
   • MCP server: Cursor Settings > Features > Model Context Protocol

Available skills

Skill	Command	Description
Help	/pinecone-help	Overview of all skills and setup requirements.
Quickstart	/pinecone-quickstart	Interactive onboarding — create an index, upsert data, and query. Choose between a Database path or Assistant path.
Query	/pinecone-query	Search integrated indexes using natural language via the Pinecone MCP server.
Assistant	/pinecone-assistant	Create, upload, sync, and chat with Pinecone Assistants for document Q&A with citations.
CLI	/pinecone-cli	Guide for using the Pinecone CLI (pc) from the terminal.
Full-text search	/pinecone-full-text-search	Create, ingest into, and query a Pinecone full-text-search (FTS) index.
n8n	/pinecone-n8n	Build n8n workflows with the Pinecone Assistant node or Pinecone Vector Store, including best practices and full workflow JSON generation.
MCP	/pinecone-mcp	Reference for all Pinecone MCP server tools.
Docs	/pinecone-docs	Curated links to official Pinecone documentation.

MCP tools

The plugin includes the Pinecone MCP server, which provides the following tools:

• search-docs — Search the official Pinecone documentation.
• list-indexes — List all available Pinecone indexes.
• describe-index — Get index configuration and namespaces.
• describe-index-stats — Get record counts and namespace statistics.
• create-index-for-model — Create a new index with integrated embeddings.
• upsert-records — Insert or update records in an index.
• search-records — Search records with optional metadata filtering and reranking.
• cascading-search — Search across multiple indexes with deduplication and reranking.
• rerank-documents — Rerank documents using a specified reranking model.

For full MCP server documentation, see Use the Pinecone MCP server.

Resources

• GitHub repository
• Cursor Marketplace listing
• Pinecone MCP server guide
• Cursor documentation