MCP Server with FastAPI (Python)
A hands-on implementation of a Model Context Protocol (MCP) server built with Python using the official MCP SDK and FastAPI/Starlette.
What is MCP?
Model Context Protocol (MCP) is an open standard that enables AI assistants (like Claude, Kiro, Cursor) to connect with external tools, data sources, and APIs through a unified interface — similar to how USB-C standardized device connectivity.
┌─────────────┐ ┌─────────────┐ ┌──────────────┐
│ AI Client │ ←───→ │ MCP Server │ ←───→ │ Your Tools/ │
│(Claude/Kiro)│ JSON │ (This Repo)│ │ Data/APIs │
└─────────────┘ └─────────────┘ └──────────────┘
Features
- Tools: Functions that AI clients can discover and call
greet— Returns a greeting for a given nameadd_numbers— Adds two numbers and returns the resultget_current_time— Returns the current date and time- SSE Transport: Server-Sent Events based communication (HTTP)
- Test Client: A Python client that connects to the server and calls all tools
Tech Stack
- Python 3.13+
- MCP Python SDK (v1.9)
- FastAPI / Starlette
- Uvicorn (ASGI server)
- SSE (Server-Sent Events) transport
Getting Started
Prerequisites
- Python 3.10+
- pip
Installation
git clone https://github.com/MuhammadIshaqSkd/mcp-fastapi-tutorial.git
cd mcp-fastapi-tutorial
# Create virtual environment
python -m venv venv
# Activate (Windows)
.\venv\Scripts\activate
# Activate (macOS/Linux)
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
Running the Server
python server.py
Server starts on http://127.0.0.1:8080 with SSE endpoint at /sse.
Testing with the Client
Open a second terminal (keep the server running):
python test_client.py
Expected output: ``` ================================================== MCP Client - Connecting to server... ==================================================
✅ Connection successful!
📋 Available Tools: ------------------------------ 🔧 greet: Greet someone by name and return a greeting message. 🔧 add_numbers: Return the sum of two numbers. 🔧 get_current_time: Return the current date and time.
🎯 Calling 'greet' tool... Result: Assalam-o-Alaikum, Mishaq! MCP Server se aapko salam!
🎯 Calling 'add_numbers' tool... Result: 15 + 27 = 42
🎯 Calling 'get_current_time' tool... Result: Current time: 2026-06-22 18:15:09
================================================== 🎉 All tools called successfully! ================================================== ```
Project Structure
mcp-fastapi-tutorial/
├── server.py # MCP Server — registers and exposes tools via SSE
├── test_client.py # MCP Client — connects to server, lists & calls tools
├── requirements.txt # Python dependencies
└── README.md
How It Works
- Server registers tools using
@mcp.tool()decorator - Client connects via SSE to
/sseendpoint - Client calls
list_tools()to discover available tools - Client calls
call_tool("tool_name", {args})to execute a tool - Server executes the function and returns the result
Key Concepts Demonstrated
| Concept | Description | |---------|-------------| | Tool Registration | Using @mcp.tool() to expose Python functions as MCP tools | | SSE Transport | HTTP-based bidirectional communication via Server-Sent Events | | Client Session | Initializing and managing MCP client-server sessions | | Tool Discovery | Clients dynamically discover available tools at runtime | | Tool Execution | Remote procedure call pattern over the MCP protocol |
Roadmap
- [x] Basic MCP server with tools
- [ ] Add Resources (context/data providers for AI)
- [ ] Add Prompts (reusable prompt templates)
- [ ] Streamable HTTP transport
- [ ] Authentication & authorization
- [ ] Deploy to cloud
Resources
License
MIT






