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Fused MCP Agents: Setting up MCP Servers for Data

Documentation 🌪️ Read the announcement 🔥 Join Discord

[MCP servers](https://modelcontextprotocol.io/introduction) 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.

This repo offers a simple step-by-step notebook workflow to setup [MCP Servers](https://modelcontextprotocol.io/introduction) with Claude's Desktop App, all in Python built on top of Fused [User Defined Functions](https://docs.fused.io/core-concepts/write/) (UDFs). ![Demo once setup](https://fused-magic.s3.us-west-2.amazonaws.com/udf-mcp-repo/readme_asset/mcp_demo_fused_notebook_2.5x.gif) ## Requirements - Python 3.11 - Latest [Claude Desktop app](https://claude.ai/download) installed (macOS & Windows) If you're on Linux, the desktop app isn't available so [we've made a simple client](#using-a-local-claude-client-without-claude-desktop-app) 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`](https://docs.astral.sh/uv/getting-started/installation/) 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`](1.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](2.create_your_own_agents.ipynb) ![Notebook](/img/Starting_

#fused

Fused MCP Agents: Setting up MCP Servers for Data