MCP Server Demo

@tian1ll1

About MCP Server Demo

A demonstration server implementing the Model Context Protocol (MCP)

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

Basic information

Category

Other

Runtime

python

Transports

stdio

Publisher

tian1ll1

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-demo-tian1ll1": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Server Demo?

MCP Server Demo is a reference implementation of a Model Context Protocol (MCP) server. It demonstrates real‑time communication between AI models and external tools via WebSockets, with built‑in context management and a tool registry. It is intended for developers learning or testing the MCP protocol.

How to use MCP Server Demo?

Clone the repository, create a Python virtual environment, and install dependencies from requirements.txt. Start the server with python src/server.py, then run the example client with python examples/client.py.

Key features of MCP Server Demo

WebSocket‑based real‑time communication with clients
Context management for conversation history per session
Tool registry for managing available tool specifications
Message routing to appropriate tools
Example client and tool demonstration scripts included

Use cases of MCP Server Demo

Learning how to implement an MCP server from scratch
Testing tool integrations with a minimal MCP server
Experimenting with context‑aware AI‑tool interactions
Evaluating the MCP protocol for a project

FAQ from MCP Server Demo

What runtime does MCP Server Demo require?

It runs on Python 3 and can be installed in a virtual environment.

How does MCP Server Demo communicate with clients?

It uses a WebSocket server for real‑time bidirectional communication.

What tools are included in the demo?

The README references example tool integrations in src/tools/basic_tools.py and a tools demo script.

Can I extend the server with my own tools?

Yes, the tool registry design allows adding new tools; the project structure includes a tools/ directory for implementations.

What is the license for this project?

It is licensed under the MIT License.

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