Features
- 7 built-in skills for index management, semantic search, assistant creation, and more
- Universal compatibility with any IDE that supports Agent Skills
- Works with the Pinecone MCP server for direct index operations
Prerequisites
- A Pinecone API key
- Node.js installed (for
npx) - Pinecone MCP server configured in your IDE (optional, enables the
queryskill) - uv installed (optional, runs bundled Python scripts)
- Pinecone CLI installed (optional, enables the
cliskill)
Installation
Set your API key
YOUR_API_KEY with your Pinecone API key.Install the skills
Configure the MCP server (optional)
For full functionality, configure the Pinecone MCP server in your IDE. This enables the
query skill and direct index operations.Available skills
| 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 | Use the Pinecone CLI for terminal-based index and vector management across all index types. |
| 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. |
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 thequery skill and direct index operations.
For the full list of MCP tools, see Use the Pinecone MCP server.