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MCP Server Demo

MCP Server Demo

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github.com/tian1ll1Developer Tools0Updated 84w ago
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About MCP Server Demo

MCP Server Demo is a Python demonstration of an MCP server for developers exploring protocol implementation. It combines example tools, session context handling, and WebSocket communication, with a sample client.

Key features

  1. 01Basic MCP server implementation
  2. 02Example tool integrations
  3. 03Session context management
  4. 04WebSocket communication
  5. 05Example client

Use cases

  1. 01Exploring MCP server structure
  2. 02Testing tool routing and context
  3. 03Trying WebSocket client communication

MCP support

It implements an MCP server with a tool registry, message processing, and session context management. The project also includes a simple example client.

#mcp#model-context-protocol#server-demo

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Server Demo

This project demonstrates the implementation of a Model Context Protocol (MCP) server. MCP is a protocol designed to facilitate communication between AI models and external tools/services while maintaining context awareness.

Features

  • Basic MCP server implementation
  • Example tool integrations
  • Context management demonstration
  • WebSocket-based real-time communication
  • Simple client example

Project Structure

mcp-server-demo/
├── src/
│   ├── server.py           # Main MCP server implementation
│   ├── tools/              # Tool implementations
│   │   ├── __init__.py
│   │   └── basic_tools.py
│   ├── context/            # Context management
│   │   ├── __init__.py
│   │   └── manager.py
│   └── utils/             # Utility functions
│       ├── __init__.py
│       └── helpers.py
├── examples/              # Example usage
│   ├── client.py
│   └── tools_demo.py
├── tests/                # Test cases
│   └── test_server.py
├── requirements.txt      # Project dependencies
└── README.md            # This file

Installation

  1. Clone the repository:
git clone https://github.com/tian1ll1/mcp-server-demo.git
cd mcp-server-demo
  1. Create a virtual environment (recommended):
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt

Usage

  1. Start the MCP server:
python src/server.py
  1. Run the example client:
python examples/client.py

How It Works

The MCP server implements the following key components:

  1. Context Management: Maintains conversation history and relevant context for each session.
  2. Tool Registry: Manages available tools and their specifications.
  3. Message Processing: Handles incoming messages and routes them to appropriate tools.
  4. WebSocket Server: Provides real-time communication with clients.

Contributing

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

License

This project is licensed under the MIT License - see the LICENSE file for details.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.