# TabPFN MCP Server

> Use this tool when you need to train and deploy AI models for tabular data classification and regression tasks. It solves problems related to predictive analytics and data-driven decision-making by providing a dedicated server for TabPFN model training and inference via API interface. The server accepts tabular data as input and outputs predictive models and results, ideal for use cases requiring accurate predictions from structured data.

Canonical page: https://skillsregistry.net/skills/neelays-tabpfn-mcp  
JSON: https://api.skillsregistry.net/v1/skills/neelays-tabpfn-mcp

## Description

Enables AI assistants to train and run TabPFN models for tabular classification and regression tasks via the TabPFN API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nd42mbglfk)
- **Repository:** <https://github.com/NeelayS/tabpfn-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "neelays-tabpfn-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neelays-tabpfn-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neelays-tabpfn-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt