Fused MCP
Fused MCP is a system for creating MCP servers that facilitate executing Python UDFs remotely, ideal for data scientists. It integrates with Claude AI for making HTTP requests and executing code on local or remote machines, streamlining data workflows.
Added on:
Created by:
Apr 18 2025
Fused MCP is a system for creating MCP servers that facilitate executing Python UDFs remotely, ideal for data scientists. It integrates with Claude AI for making HTTP requests and executing code on local or remote machines, streamlining data workflows.
Added on:
Created by:
Apr 18 2025
Fused
Featured
What is Fused MCP?
Fused MCP (Model Context Protocol) provides a framework for setting up servers that allow execution of Python functions and UDFs remotely. Built for data scientists, it connects with tools like Claude AI to enable making HTTP requests, calling APIs, and executing code seamlessly on local or remote environments. The system supports setting up MCP servers, integrating with desktop or local Claude clients, and managing custom functions and agents. It leverages MCP standards, facilitating data workflows, automation, and integration within data science projects, enhancing efficiency and flexibility in remote code execution.
Who will use Fused MCP?
- Data scientists
- Developers
- Research professionals
- AI practitioners
How to use the Fused MCP?
- Step1: Clone the repository from GitHub.
- Step2: Install necessary dependencies like Python 3.11 and UV.
- Step3: Set up MCP server using provided notebooks and configuration files.
- Step4: Start the MCP server with uv run main.py.
- Step5: Use client.py in another terminal to connect to the server and execute functions.
Fused MCP's Core Features & Benefits
The Core Features
- Setup and manage MCP servers
- Execute Python UDFs remotely
- Integrate with Claude AI for HTTP requests
- Create custom agents and functions
- Support for local and desktop Claude clients
The Benefits
- Enables remote code execution
- Streamlines data workflows
- Facilitates integration with AI models
- Supports customization and automation
- Runs on local machines without needing cloud infrastructure
Fused MCP's Main Use Cases & Applications
- Data science workflow automation
- Remote function execution in research projects
- Integration with AI tools like Claude
- Custom agent development for specific tasks
- Streamlined data processing pipelines
FAQs of Fused MCP
Developer
- fusedio
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