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Pinecone’s official Agent Skills library brings Pinecone capabilities to any agentic IDE that supports the Agent Skills standard. Use skills to manage indexes, run semantic search, create document Q&A assistants, and more, all through natural language in your IDE. Agent Skills work with GitHub Copilot and other agentic IDEs.
These tools have a dedicated Pinecone plugin with additional features. Install it instead of Agent Skills:

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Features

  • Built-in skills cover index management, semantic search, full-text search, assistant creation, and more.
  • The skills work in any IDE that supports Agent Skills.
  • The skills work with the Pinecone MCP server for direct index operations.

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Prerequisites

  • A Pinecone API key
  • Node.js installed (for npx)
  • Pinecone MCP server configured in your IDE (optional, enables the pinecone-query skill)
  • uv installed (required to run the bundled Python scripts, including the quickstart skill)
  • Pinecone CLI installed (optional, enables the pinecone-cli skill)

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Installation

Set your API key, add the skills to your project, and optionally connect the MCP server.
1

Set your API key

Replace YOUR_API_KEY with your Pinecone API key.
2

Install the skills

This downloads Pinecone’s skills into your project, making them available to your IDE’s AI agent.
3

Configure the MCP server (optional)

For full functionality, configure the Pinecone MCP server in your IDE. This enables the pinecone-query skill and direct index operations.

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Available skills

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MCP tools

Agent Skills work alongside the Pinecone MCP server, which provides tools for listing indexes, creating indexes, upserting records, searching, reranking, and more. Configure the MCP server in your IDE to enable the pinecone-query skill and direct index operations. For the full list of MCP tools, see Use the Pinecone MCP server.

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Resources