MCP Server Implementation

Name: MCP Server Implementation
Author: yisu201506

@yisu201506

代码仓库

关于 MCP Server Implementation

Repository for MCP server implementation

#mcp-server #mcp #flask #llm #api

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

yisu201506

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-yisu201506": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

工具

未检测到工具

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 Implementation?

A Flask-based implementation of the Model Context Protocol (MCP) that extends Large Language Models with external tools like weather and calculator, using text-based tool invocation directly in the context window.

How to use MCP Server Implementation?

Clone the repository, create a Python virtual environment, install dependencies, set environment variables for API keys, then run flask run or gunicorn app:app. Send chat messages via the POST /chat endpoint with a JSON body containing a messages array.

Key features of MCP Server Implementation

Complete MCP parsing, execution, and response handling
Sample weather and calculator tools with parameter validation
Maintains conversation context across multiple interactions
Regex‑based parsing for flexible tool invocation detection
Flask REST API for easy chat integration

Use cases of MCP Server Implementation

Adding real‑time weather data to an LLM‑powered chatbot
Enabling a language model to perform mathematical calculations
Building custom tool integrations by inheriting from the Tool base class
Demonstrating MCP workflow for educational or prototyping purposes

FAQ from MCP Server Implementation

What is MCP and how does it differ from function calling?

MCP places tool definitions in the prompt text and parses natural‑language responses for tool calls, while function calling uses structured JSON in API parameters and requires API support.