> ## Documentation Index
> Fetch the complete documentation index at: https://docs.priorlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Context Protocol

> Connect AI tools to TabPFN using the Model Context Protocol (MCP) for natural language predictions on tabular data.

TabPFN MCP is a remote [MCP](https://modelcontextprotocol.io/docs/getting-started/intro) with OAuth that gives AI tools secure access to TabPFN. Our MCP server is available at:

```
https://api.priorlabs.ai/mcp/server
```

It integrates with popular AI assistants like Claude, enabling you to run predictions using natural language. TabPFN MCP implements the latest
[MCP Authorization](https://modelcontextprotocol.io/specification/2025-06-18/basic/authorization) and [Streamable HTTP](https://modelcontextprotocol.io/specification/2025-06-18/basic/transports#streamable-http) specifications.

<Note>
  To use the TabPFN MCP you need a Prior Labs account. You can sign up or log in at [ux.priorlabs.ai](https://ux.priorlabs.ai).
</Note>

## Getting Started

<CardGroup cols={2}>
  <Card title="Setup Guide" icon="plug" horizontal href="/agentic/setup-guide">
    Connect Claude, ChatGPT, Cursor, Codex CLI, or n8n to the TabPFN MCP server.
  </Card>

  <Card title="TabPFN Skill for Claude" icon="wand-magic-sparkles" horizontal href="/agentic/tutorials/mcp-claude-skills">
    A skill file that teaches Claude the optimal TabPFN workflow, data validation, and edge case handling.
  </Card>

  <Card title="n8n Workflow" icon="diagram-project" horizontal href="/agentic/tutorials/n8n">
    Build a chat workflow that accepts CSV uploads and runs TabPFN predictions.
  </Card>

  <Card title="Databricks Pipeline" icon="database" horizontal href="/agentic/tutorials/databricks">
    A churn prediction pipeline with an AI agent using TabPFN MCP and Databricks Delta tables.
  </Card>
</CardGroup>