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Gemini CLI Extension

Install the official Pinecone extension for Gemini CLI to manage indexes, run vector search, and build RAG assistants with natural-language commands.

The official Pinecone extension for Gemini CLI provides AI-powered skills and MCP server integration directly in your terminal. Use natural language to manage indexes, query data, build RAG applications, and create document Q&A assistants.

  • 7 built-in skills for index management, semantic search, assistant creation, and more
  • MCP server integration for direct Pinecone operations from Gemini CLI
  • Natural language activation — just describe what you want and the right skill is invoked automatically
  1. Set your API key

    Shell
    export PINECONE_API_KEY="YOUR_API_KEY"

    Replace YOUR_API_KEY with your Pinecone API key.

  2. Install the extension

    Shell
    gemini extensions install https://github.com/pinecone-io/gemini-cli-extension
  3. Restart Gemini CLI

    Restart Gemini CLI to activate the extension. Then ask:

    text
    Use the help skill to show me what Pinecone skills are available.
Skill Description
quickstart Step-by-step onboarding — create an index, upload data, and run your first search.
query Search integrated indexes using natural language text via the Pinecone MCP.
assistant Create, manage, and chat with Pinecone Assistants for document Q&A with citations.
cli Guide for using the Pinecone CLI from the terminal.
mcp Reference for all available Pinecone MCP server tools and their parameters.
pinecone-docs Curated links to official Pinecone documentation, organized by topic.
help Overview of all skills and what you need to get started.

Skills are activated automatically based on your conversation. If the agent doesn't pick up a specific skill, explicitly ask for it: "Use the quickstart skill to help me get started."

The extension 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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