Pinecone Skills — Help & Overview

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. It's useful for building semantic search, retrieval augmented generation, recommendation systems, and agentic applications.

Here's everything you need to get started and a summary of all available skills.

What You Need

Required

Pinecone account — free to create at https://app.pinecone.io/?sessionType=signup
API key — create one in the Pinecone console after signing up, then export it:
```
export PINECONE_API_KEY="pcsk_..."
```

Optional (unlock more capabilities)

Tool	What it enables	Install
Pinecone MCP server	Use Pinecone directly inside your AI agent/IDE without writing code	Setup guide
Pinecone CLI (`pc`)	Manage all index types from the terminal, batch operations, backups, CI/CD	`brew tap pinecone-io/tap && brew install pinecone-io/tap/pinecone`
uv	Run the packaged Python scripts included in these skills	`curl -LsSf https://astral.sh/uv/install.sh \| sh`

Available Skills

Skill	What it does
`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
`cli`	Use the Pinecone CLI (`pc`) for terminal-based index and vector management
`assistant`	Create, manage, and chat with Pinecone Assistants for document Q&A with citations
`mcp`	Reference for all Pinecone MCP server tools and their parameters
`pinecone-docs`	Curated links to official Pinecone documentation, organized by topic

Which skill should I use?

Just getting started? → quickstart

Want to search an index you already have?

Integrated index (built-in embedding model) → query (uses MCP)
Any other index type → cli

Working with documents and Q&A? → assistant

Need to manage indexes, bulk upload vectors, or automate workflows? → cli

Looking up API parameters or SDK usage? → pinecone-docs