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MCP Server Research Project

@ckz

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

ckz

关于 MCP Server Research Project

research claude code and mcp server

#mcp#message-coordination#server-research

MCP Server Research Project 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp_server_research": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP Server Research Project 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Server Research Project?

It is a research repository that contains a reference implementation and demonstrations of the Message Coordination Protocol (MCP), a standardized way for distributed systems to communicate and coordinate actions.

How to use MCP Server Research Project?

Prerequisites are Python 3.8+, Flask, and Requests. Clone the repository, set up a virtual environment, install dependencies from requirements.txt, then run src/demo/simple_mcp_server.py. Optionally set DEBUG and PORT environment variables. Use src/demo/client_demo.py with --server, --duration, and --interval arguments to test client-server interaction.

Key features of MCP Server Research Project

  • Registers and tracks connected clients
  • Processes heartbeat, data, and command messages
  • Routes messages to appropriate destinations
  • Provides a web dashboard for monitoring system activity
  • Maintains an in-memory message history
  • Supports custom settings via environment variables

Use cases of MCP Server Research Project

  • Researching and prototyping MCP implementations
  • Demonstrating message coordination in distributed systems
  • Testing client-server communication patterns
  • Monitoring system activity through the web dashboard

常见问题

1

What are the prerequisites for running the server?

Python 3.8 or later, Flask, and Requests are required. See requirements.txt for the exact dependency list.

2

How do I run the demo server with custom settings?

Set environment variables DEBUG and PORT before running simple_mcp_server.py. Example: `DEBUG=true PORT=5001`.

3

How can I test the client-server interaction?

Run client_demo.py with arguments --server, --duration, and --interval. The client sends messages to the server and you can observe the server accepting connections.

4

What features does the demo server include?

It registers clients, processes heartbeat/data/command messages, routes messages, provides a web dashboard, and maintains in-memory message history.

5

What license is this project under?

The project is released under the MIT license.

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