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Documentation Index

Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt

Use this file to discover all available pages before exploring further.

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.

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Features

  • 8 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

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Prerequisites

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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

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Available skills

SkillCommandDescription
Help/pinecone-helpOverview of all skills and setup requirements.
Quickstart/pinecone-quickstartInteractive onboarding — create an index, upsert data, and query. Choose between a Database path or Assistant path.
Query/pinecone-querySearch integrated indexes using natural language via the Pinecone MCP server.
Assistant/pinecone-assistantCreate, upload, sync, and chat with Pinecone Assistants for document Q&A with citations.
CLI/pinecone-cliGuide for using the Pinecone CLI (pc) from the terminal.
Full-text search/pinecone-full-text-searchCreate, ingest into, and query a Pinecone full-text-search (FTS) index using the preview API.
MCP/pinecone-mcpReference for all Pinecone MCP server tools.
Docs/pinecone-docsCurated links to official Pinecone documentation.

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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.

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Resources