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MCP Example – Python Implementation

@srivatssan

Basic information

Category

Other

License

MIT

Transports

stdio

Author

srivatssan

About MCP Example – Python Implementation

This project is a simple vibe coded example of how an MCP Server could return a tool to the requesting client.

#mcp#model-context-protocol#python-implementation

MCP Example – Python Implementation config

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

{
  "mcpServers": {
    "MCP-Demo": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

MCP Example – Python Implementation tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

What is 🧠 Model Context Protocol (MCP) Example – Python Implementation?

This repository provides a minimal, functional example of the Model Context Protocol (MCP) using Python. It demonstrates how a Large Language Model (LLM) agent can communicate with enterprise systems through a standardized client-server interface using JSON-RPC over HTTP, including support for Server-Sent Events (SSE). The project is intended for developers learning MCP or prototyping enterprise integrations.

How to use 🧠 Model Context Protocol (MCP) Example – Python Implementation?

Install FastAPI and Uvicorn, then start the server with uvicorn main:app --reload inside the server/ directory. Install the requests package and run python main.py from the client/ directory to interact with the server. The server exposes endpoints POST /rpc for JSON-RPC tool listing/invocation and GET /events for simulated SSE heartbeat messages.

Key features of 🧠 Model Context Protocol (MCP) Example – Python Implementation

  • Minimal MCP server exposing tools via tools/list and tools/call
  • Python client sending JSON-RPC requests to list and call tools
  • Simulated real-time connection using /events SSE endpoint
  • Modular structure ready to extend for resources/ and prompts/ support

Use cases of 🧠 Model Context Protocol (MCP) Example – Python Implementation

  • Learning the Model Context Protocol with a hands-on Python example
  • Prototyping an LLM‑enterprise integration using JSON‑RPC over HTTP
  • Testing tool discovery and invocation in a simple client‑server setup
  • Exploring Server‑Sent Events for streaming data from an MCP server

Frequently asked questions

1

What dependencies are required?

The server requires FastAPI and Uvicorn. The client requires the `requests` Python package.

2

What endpoints does the server provide?

The server provides `POST /rpc` for JSON-RPC handling and `GET /events` for simulated SSE heartbeat messages.

3

Is this implementation production‑ready?

No, this is a minimal example for learning and prototyping. The README suggests next steps like adding authentication and streaming support.

4

Does the example support resources or prompts?

Currently only tools are demonstrated. The modular structure is designed to be extended for `resources/` and `prompts/` support.

5

What protocol is used for communication?

Communication uses JSON‑RPC 2.0 over HTTP, with Server‑Sent Events for the `/events` endpoint.

Comments

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