FastAPI MCP SSE
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
FastAPI MCP SSE
<p align="center"> <strong>English</strong> | <a href="/README.zh-CN.md">简体中文</a> </p>A Server-Sent Events (SSE) implementation using FastAPI framework with Model Context Protocol (MCP) integration.
What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI models to interact with external tools and data sources. MCP solves several key challenges in AI development:
- Context limitations: Allows models to access up-to-date information beyond their training data
- Tool integration: Provides a standardized way for models to use external tools and APIs
- Interoperability: Creates a common interface between different AI models and tools
- Extensibility: Makes it easy to add new capabilities to AI systems without retraining
This project demonstrates how to implement MCP using Server-Sent Events (SSE) in a FastAPI web application.
Description
This project demonstrates how to implement Server-Sent Events (SSE) using the FastAPI framework while integrating Model Context Protocol (MCP) functionality. The key feature is the seamless integration of MCP's SSE capabilities within a full-featured FastAPI web application that includes custom routes.
Features
- Server-Sent Events (SSE) implementation with MCP
- FastAPI framework integration with custom routes
- Unified web application with both MCP and standard web endpoints
- Customizable route structure
- Clean separation of concerns between MCP and web functionality
Architecture
This project showcases a modular architecture that:
- Integrates MCP SSE endpoints (
/sse
and/messages/
) into a FastAPI application - Provides standard web routes (
/
,/about
,/status
,/docs
,/redoc
) - Demonstrates how to maintain separation between MCP functionality and web routes
Installation & Usage Options
Prerequisites
Install UV Package Manager - A fast Python package installer written in Rust:
Option 1: Quick Run Without Installation
Run the application directly without cloning the repository using UV's execution tool:
Option 2: Full Installation
Create Virtual Environment
Create an isolated Python environment for the project:
Activate Virtual Environment
Activate the virtual environment to use it:
Install Dependencies
Install all required packages:
Start the Integrated Server
Launch the integrated FastAPI server with MCP SSE functionality:
or
Available Endpoints
After starting the server (using either Option 1 or Option 2), the following endpoints will be available:
- Main server: http://localhost:8000
- Standard web routes:
- Home page: http://localhost:8000/
- About page: http://localhost:8000/about
- Status API: http://localhost:8000/status
- Documentation (Swagger UI): http://localhost:8000/docs
- Documentation (ReDoc): http://localhost:8000/redoc
- MCP SSE endpoints:
- SSE endpoint: http://localhost:8000/sse
- Message posting: http://localhost:8000/messages/
Debug with MCP Inspector
For testing and debugging MCP functionality, use the MCP Inspector:
Connect to MCP Inspector
- Open MCP Inspector at http://localhost:5173
- Configure the connection:
- Set Transport Type to
SSE
- Enter URL: http://localhost:8000/sse
- Click
Connect
- Set Transport Type to
Test the Functions
- Navigate to
Tools
section - Click
List Tools
to see available functions:get_alerts
: Get weather alertsget_forcast
: Get weather forecast
- Select a function
- Enter required parameters
- Click
Run Tool
to execute
Extending the Application
Adding Custom Routes
The application structure makes it easy to add new routes using FastAPI's APIRouter:
- Define new route handlers in routes.py using the APIRouter:Copy
- All routes defined with the router will be automatically included in the main application
Customizing MCP Integration
The MCP SSE functionality is integrated in server.py through:
- Creating an SSE transport
- Setting up an SSE handler
- Adding MCP routes to the FastAPI application
Integration with Continue
To use this MCP server with the Continue VS Code extension, add the following configuration to your Continue settings:
This server cannot be installed
A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.