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MCP documentation#18

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mcp-docs
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MCP documentation#18
safaricd wants to merge 2 commits intomainfrom
mcp-docs

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@safaricd safaricd commented Feb 5, 2026

This PR adds docs about using & setting up the TabPFN MCP server. The page was not added in the navigation tree yet because we want to keep access private.

A Loom demo recording will follow next week and will be part of a separate PR.

@safaricd safaricd requested a review from noahho February 5, 2026 21:15
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Summary of Changes

Hello @safaricd, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces comprehensive documentation for integrating various AI tools with the TabPFN Model Context Protocol (MCP) server. The new guide aims to streamline the process for users to connect their AI assistants, such as Claude, ChatGPT, Codex CLI, and Cursor, to leverage the TabPFN-2.5 model for instant predictions through a natural language interface, ensuring secure access via OAuth.

Highlights

  • New Documentation for TabPFN MCP: Introduces a new documentation page (integrations/mcp.mdx) detailing the setup and usage of the TabPFN Model Context Protocol (MCP) server.
  • AI Tool Integration Guides: Provides step-by-step instructions for connecting various AI tools, including Claude Code, Claude.ai, ChatGPT, Codex CLI, and Cursor, to the TabPFN MCP server.
  • MCP Server Details: Explains what TabPFN MCP is, its server URL (https://api.priorlabs.ai/mcp/server), and highlights its compliance with MCP Authorization and Streamable HTTP specifications.
  • Available Prediction Tools: Outlines the two core tools exposed by the server: fit_and_predict for fitting and generating predictions, and predict for generating predictions from a previously fitted model using TabPFN-2.5.

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Changelog
  • integrations/mcp.mdx
    • Added a new documentation page explaining the TabPFN Model Context Protocol (MCP) server.
    • Included detailed setup instructions for integrating the MCP server with various AI tools like Claude, ChatGPT, Codex CLI, and Cursor.
    • Described the available fit_and_predict and predict tools for TabPFN-2.5.
Activity
  • The author plans to follow up with a Loom demo recording in a separate PR next week, indicating ongoing development and documentation efforts for this feature.
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Code Review

This pull request adds documentation for setting up and using the TabPFN MCP server. The new page provides clear instructions for various AI clients like Claude, ChatGPT, Codex CLI, and Cursor. My review includes a few minor suggestions to improve grammar, source code readability, and consistency in the provided shell commands. Overall, the documentation is well-written and easy to follow.


## What is TabPFN MCP?

TabPFN MCP is a remote MCP with OAuth that gives AI tools secure access TabPFN-2.5, our SOTA tabular foundation model. Our MCP server is available at:

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medium

There's a small grammatical error here. It should be 'secure access to TabPFN-2.5'.

TabPFN MCP is a remote MCP with OAuth that gives AI tools secure access to TabPFN-2.5, our SOTA tabular foundation model. Our MCP server is available at:

Comment on lines +17 to +18
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.

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medium

For better readability in the source file, it's best to avoid breaking a sentence across two lines like this. I suggest combining them into a single line.

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.


```bash
# Install Codex
npm i -g @openai/codex

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medium

For consistency and clarity in documentation, it's better to use the full command npm install instead of the shorthand npm i. The 'Claude Code' section already uses npm install.

npm install -g @openai/codex

description: ""
---

Connect your AI tools to TabPFN using the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP),
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I would merge this sentence with the next (what is TabPFN MCP). First two sentences are almost the same right now

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Awesome! Just take a look at the Gemini & my comments

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