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fused-mcp

Connects large language models (LLMs) to APIs and executable Python code, facilitating local data science workflows. Provides a user-friendly notebook guide to create agents and functions efficiently.

Author

fused-mcp logo

fusedio

MIT License

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GitHub GitHub Stars 26
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

fusedioapispythonanalytics fusediollms apisfused mcp

Fused MCP Agents: Setting up MCP Servers for Data

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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:

bash git clone https://github.com/fusedio/fused-mcp.git cd fused-mcp/

  • Install uv if you don't have it:

macOS / Linux: bash 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:

bash 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

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:

  • 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

# .env ANTHROPIC_API_KEY = "your-key-here"

  • Start the MCP server:

bash uv run main.py --agent get_current_time

  • In another terminal session, start the local client, pointing to the address of the server:

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

See Also

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