Mcp_server_research

# MCP Server Research Project

This project contains research and demos related to MCP (Message Coordination Protocol) server implementation.

Overview

The Message Coordination Protocol (MCP) provides a standardized way for distributed systems to communicate and coordinate actions. This repository includes a reference implementation and demonstrations of the protocol in action.

Project Structure

``` mcp_server_research/ ├── docs/ # Documentation files ├── src/ # Source code │ └── demo/ # Demo implementations └── requirements.txt ```

Getting Started

Prerequisites

• Python 3.8+
• Flask
• Requests

Installation

```bash

Clone the repository

git clone https://github.com/ckz/mcp\_server\_research.git cd mcp_server_research

Set up virtual environment

python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate

Install dependencies

pip install -r requirements.txt ```

Running the Demo

To run the MCP server with default settings:

```bash cd src/demo python simple_mcp_server.py ```

To run with custom settings using environment variables:

```bash cd src/demo DEBUG=true PORT=5001 python simple_mcp_server.py ```

Then visit http://localhost:5001 (or the custom port you specified) to view the dashboard.

To run a client demo in a separate terminal:

```bash cd src/demo python client_demo.py --server http://localhost:5001 --duration 30 --interval 2 ```

You should see the server accepting connections and the client successfully sending messages.

Demo Features

The simple MCP server demo implements a basic message coordination protocol server that:

• Registers and tracks connected clients
• Processes various message types (heartbeat, data, command)
• Routes messages to appropriate destinations
• Provides a web dashboard for monitoring system activity
• Maintains an in-memory message history

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Changelog

2024-02-24

• Added proper error handling to the client code for connection failures
• Using sessions in the client for better connection management
• Added CORS support to the server for cross-origin requests
• Implemented timeouts for API calls to prevent hanging
• Made debug mode configurable through environment variables
• Fixed dependency issues by adding flask-cors and specifying werkzeug version
• Improved documentation in code comments