uday160386/Green-MCP

Green-MCP

Green-MCP is an AI-powered Model Context Protocol (MCP) server and client project designed to facilitate generative AI workflows and context management. It provides a Python-based server and client, with optional UI and data handling components.

Features

• MCP server implementation (server/green-mcp-server.py)
• Python client for interacting with the server (client/green-mcp-client.py)
• Streamlit UI for client interaction (client/green-mcp-streamlit.py)
• Docker support for easy deployment
• Example data and documentation

Project Structure

Green-MCP/
├── Dockerfile
├── main.py
├── mcp-server-openrpc.json
├── pyproject.toml
├── requirements.txt
├── README.md
├── client/
│   ├── green-mcp-client.py
│   └── green-mcp-streamlit.py
├── client-ui/
├── data/
│   └── Generative_AI_1705404080.pdf
├── server/
│   └── green-mcp-server.py

Getting Started

Prerequisites

• Python 3.8+
• Docker (optional)
• pip

Installation

1. Clone the repository:

   git clone https://github.com/uday160386/Green-MCP.git
   cd Green-MCP
   

2. Install dependencies:

   pip install -r requirements.txt
   

Running the Server

python server/green-mcp-server.py

Running the Client

python client/green-mcp-client.py

Using the Streamlit UI

streamlit run client/green-mcp-streamlit.py

Docker Usage

Build and run the container:

docker build -t green-mcp .
docker run -p 8000:8000 green-mcp

Documentation

• See mcp-server-openrpc.json for the OpenRPC specification.
• Example data in data/Generative_AI_1705404080.pdf.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License.