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MCP - Server-Client Implementation

@parasjain2426

基本信息

分类

其他

传输方式

stdio

作者

parasjain2426

关于 MCP - Server-Client Implementation

This is a basic MCP Server-Client Impl using SSE

MCP - Server-Client Implementation 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_client_impl": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

MCP - Server-Client Implementation 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 🧠 Model Context Protocol (MCP) - Server-Client Implementation?

A minimal prototype that implements a Model Context Protocol (MCP) system consisting of an MCP server and an MCP client, communicating via Server-Sent Events (SSE) over HTTP using FastAPI. It demonstrates lightweight tool invocation for educational or development purposes.

How to use 🧠 Model Context Protocol (MCP) - Server-Client Implementation?

Run the MCP server on port 8000 and the MCP client on port 5000, both using python main.py after installing dependencies from requirements.txt. The client exposes POST endpoints /upload_claim and /get_claim_details that invoke the corresponding tools on the server.

Key features of 🧠 Model Context Protocol (MCP) - Server-Client Implementation

  • FastAPI-based server and client with SSE transport
  • Two defined tools: upload_claim and get_claim_details
  • Client endpoints mirror server tools for easy invocation
  • Simple in‑memory data storage (resets on restart)
  • Minimal prototype suitable for learning or experimentation

Use cases of 🧠 Model Context Protocol (MCP) - Server-Client Implementation

  • Understanding how MCP works with SSE communication
  • Prototyping tool‑based claim upload and detail retrieval
  • Testing client‑server MCP interactions in a local environment
  • Educational demonstration of MCP tool invocation over HTTP

常见问题

1

What is the intended use of this project?

It is a minimal prototype for development or educational use only, not production‑ready.

2

Where is data stored?

Data is stored in‑memory and will be lost if the server restarts.

3

What are the runtime requirements?

Python 3.10+ and the dependencies listed in `requirements.txt`: `mcp[cli]`, `fastapi`, and `httpx`.

4

How does the client communicate with the server?

The client sends SSE HTTP requests to the MCP server to invoke a tool; the server streams the response back via SSE.

5

What transports or authentication are supported?

Only SSE over HTTP is used; no authentication mechanism is implemented.

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