Fused MCP Agents

Fused MCP Agents

Official
fusedio

Connects Claude to arbitrary Python code execution, allowing data scientists to run custom Python scripts and access APIs directly through the Claude desktop app.

A Python-based MCP server that allows Claude and other LLMs to execute arbitrary Python code directly through your desktop Claude app, enabling data scientists to connect LLMs to APIs and executable code.

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What it does

  • Execute arbitrary Python code through Claude
  • Connect Claude to external APIs via Python
  • Run data science workflows from chat interface
  • Process data with custom Python scripts
  • Integrate Python libraries and packages

Best for

Data scientists needing Python execution in ClaudeResearchers connecting LLMs to custom codeAnalysts automating data processing workflows
Direct Python code executionBuilt on Fused User Defined FunctionsDesktop Claude app integration

About Fused MCP Agents

Fused MCP Agents is an official MCP server published by fusedio that provides AI assistants with tools and capabilities via the Model Context Protocol. Fused MCP Agents — Python-based MCP server to run Python from Claude, enabling Claude Python integration and LLM Python It is categorized under developer tools.

How to install

You can install Fused MCP Agents in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Fused MCP Agents is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

Fused MCP Agents: Setting up MCP Servers for Data

README imageLink to github.com README image README imageLink to discord.com

Documentation   🌪️    Read the announcement    🔥    Join Discord

MCP servers allow LLMs like Claude to make HTTP requests, connecting them to APIs & executable code. We built this repo for ourselves & anyone working with data to easily pass any Python code directly to your own desktop Claude app.

UDF AI

This repo offers a simple step-by-step notebook workflow to setup MCP Servers with Claude's Desktop App, all in Python built on top of Fused User Defined Functions (UDFs).

Demo once setup

Requirements

If you're on Linux, the desktop app isn't available so we've made a simple client you can use to have it running locally too!

You do not need a Fused account to do any of this! All of this will be running on your local machine.

Installation

  • Clone this repo in any local directory, and navigate to the repo:

    git clone https://github.com/fusedio/fused-mcp.git
    cd fused-mcp/
    
  • Install uv if you don't have it:

    macOS / Linux:

    curl -LsSf https://astral.sh/uv/install.sh | sh
    

    Windows:

    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
    
  • Test out the client by asking for its info:

    uv run main.py -h
    
  • Start by following our getting-started notebook fused_mcp_agents.ipynb in your favorite local IDE to get set up and then make your way to the more advanced notebook to make your own Agents & functions

Notebook

Repository structure

This repo is build on top of MCP Server & Fused UDFs which are Python functions that can be run from anywhere.

Support & Community

Feel free to join our Discord server if you want some help getting unblocked!

Here are a few common steps to debug the setup:

  • Running uv run main.py -h should return something like this:

uv helper output function

  • You might need to pass global paths to some functions to the Claude_Desktop_Config.json. For example, by default we only pass uv:
{
    "mcpServers": {
        "qgis": {
            "command": "uv",
            "args": ["..."]
        }

    }
}

But you might need to pass the full path to uv, which you can simply pass to common.generate_local_mcp_config in the notebook:

# in fused_mcp_agents.ipynb
import shutil 

common.generate_local_mcp_config(
    config_path=PATH_TO_CLAUDE_CONFIG,
    agents_list = ["get_current_time"],
    repo_path= WORKING_DIR,
    uv_path=shutil.which('uv'),
)

Which would create a config like this:

{
    "mcpServers": {
        "qgis": {
            "command": "/Users/<YOUR_USERNAME>/.local/bin/uv",
            "args": ["..."]
        }

    }
}

Contribute

Feel free to open PRs to add your own UDFs to udfs/ so others can play around with them locally too!

Using a local Claude client (without Claude Desktop app)

If you are unable to install the Claude Desktop app (e.g., on Linux), we provide a small example local client interface to use Claude with the MCP server configured in this repo:

NOTE: You'll need an API key for Claude here as you won't use the Desktop App

  • Create an Anthropic Console Account

  • Create an Anthropic API Key

  • Create a .env:

    touch .env
    
  • Add your key as ANTHROPIC_API_KEY inside the .env:

    # .env
    ANTHROPIC_API_KEY = "your-key-here"
    
  • Start the MCP server:

    uv run main.py --agent get_current_time
    
  • In another terminal session, start the local client, pointing to the address of the server:

    uv run client.py http://localhost:8080/sse
    

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