# Fused UDF

> Use this tool when you need to integrate Large Language Models (LLMs) with executable Python code to enhance their capabilities. Fused UDF solves problems by enabling data scientists to run custom Python functions within their LLM interfaces, allowing for seamless interactions between LLMs and external data sources. It takes in Python code and LLM inputs, outputting results directly within the conversation interface, making it ideal for use cases that require extending LLM functionality with custom tasks and data retrieval.

Canonical page: https://skillsregistry.net/skills/fused-udf  
JSON: https://api.skillsregistry.net/v1/skills/fused-udf

## Description

Fused MCP is a Python-based implementation that enables data scientists to easily connect Claude and other LLMs to executable Python code through User Defined Functions (UDFs). Built by Fused Labs, it provides a simple workflow for setting up MCP servers that can run either locally or remotely, with pre-built agents for common tasks like retrieving current time and fetching news. The repository includes step-by-step notebooks for both using existing functions and creating custom agents, making it particularly valuable for data scientists who want to extend their LLMs with Python capabilities without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fused-udf)
- **Repository:** <https://github.com/fusedio/fused-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": "fused-udf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fused-udf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fused-udf/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