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Starlette MCP SSE: Instant Real-Time SSE & Simplified MCP Integration - MCP Implementation

Starlette MCP SSE: Instant Real-Time SSE & Simplified MCP Integration

Starlette MCP SSE: Instantly deploy real-time Server-Sent Event servers with this battle-tested example—cut dev time, simplify MCP integration, and power seamless data streams.

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About Starlette MCP SSE

What is Starlette MCP SSE: Instant Real-Time SSE & Simplified MCP Integration?

Starlette MCP SSE is a framework implementation that combines Server-Sent Events (SSE) with the Model Context Protocol (MCP). This integration enables real-time bidirectional communication between AI models and web applications, allowing models to access live data and tools through standardized interfaces. By leveraging Starlette's lightweight architecture, developers can seamlessly embed MCP capabilities into production-ready web services without compromising performance.

How to Use Starlette MCP SSE: Instant Real-Time SSE & Simplified MCP Integration?

Implementation follows these core steps:
1. Setup environment using UV Package Manager
2. Choose execution mode: quick run or full installation
3. Configure endpoints via modular route definitions
4. Test functionality using MCP Inspector or external tools
5. Extend capabilities by adding custom routes and tool integrations

Full documentation and configuration examples are available through the auto-generated API docs endpoint.

Starlette MCP SSE Features

Key Features of Starlette MCP SSE: Instant Real-Time SSE & Simplified MCP Integration?

  • Real-time communication: Bidirectional SSE streams for live model interactions
  • MCP compliance: Pre-configured endpoints for tool discovery and execution
  • Modular architecture: Separation of MCP logic from standard web routes
  • Development tools: Built-in support for MCP Inspector debugging workflows
  • Production readiness: Starlette's robust async capabilities ensure high performance

Use Cases of Starlette MCP SSE: Instant Real-Time SSE & Simplified MCP Integration?

Primary applications include:
• Real-time weather alert systems with dynamic data feeds
• AI-powered chatbots accessing live API resources
• Monitoring dashboards for model performance analytics
• Tool orchestration platforms for multi-model workflows

Starlette MCP SSE FAQ

FAQ from Starlette MCP SSE: Instant Real-Time SSE & Simplified MCP Integration?

Do I need special hardware to run this?
No - designed for resource-efficient operation on standard cloud instances
How does error handling work?
SSE streams include standardized error codes and retry mechanisms per MCP specifications
Can I secure the endpoints?
Yes - authentication middleware can be added to route definitions using Starlette's extension points
What tools are pre-supported?
Includes weather API demo tools - easily extendable through custom function definitions
How do I monitor performance?
Status endpoint provides real-time metrics about active connections and message throughput

Content

Starlette MCP SSE

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A Server-Sent Events (SSE) implementation using Starlette 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 Starlette web application.

Description

This project demonstrates how to implement Server-Sent Events (SSE) using the Starlette framework while integrating Model Context Protocol (MCP) functionality. The key feature is the seamless integration of MCP's SSE capabilities within a full-featured Starlette web application that includes custom routes.

Features

  • Server-Sent Events (SSE) implementation with MCP
  • Starlette 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:

  1. Integrates MCP SSE endpoints (/sse and /messages/) into a Starlette application
  2. Provides standard web routes (/, /about, /status, /docs)
  3. 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:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Option 1: Quick Run Without Installation

Run the application directly without cloning the repository using UV's execution tool:

uvx --from git+https://github.com/panz2018/starlette_mcp_sse.git start

Option 2: Full Installation

Create Virtual Environment

Create an isolated Python environment for the project:

uv venv

Activate Virtual Environment

Activate the virtual environment to use it:

.venv\Scripts\activate

Install Dependencies

Install all required packages:

uv pip install -r pyproject.toml

Start the Integrated Server

Launch the integrated Starlette server with MCP SSE functionality:

python src/server.py

or

uv run start

Available Endpoints

After starting the server (using either Option 1 or Option 2), the following endpoints will be available:

Debug with MCP Inspector

For testing and debugging MCP functionality, use the MCP Inspector:

mcp dev ./src/weather.py

Connect to MCP Inspector

  1. Open MCP Inspector at http://localhost:5173
  2. Configure the connection:
    * Set Transport Type to SSE
    * Enter URL: http://localhost:8000/sse
    * Click Connect

Test the Functions

  1. Navigate to Tools section
  2. Click List Tools to see available functions:
    * get_alerts : Get weather alerts
    * get_forcast : Get weather forecast
  3. Select a function
  4. Enter required parameters
  5. Click Run Tool to execute

Extending the Application

Adding Custom Routes

The application structure makes it easy to add new routes:

  1. Define new route handlers in routes.py
  2. Add routes to the routes list in routes.py
  3. The main application will automatically include these routes

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 Starlette application

Integration with Continue

To use this MCP server with the Continue VS Code extension, add the following configuration to your Continue settings:

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "name": "weather",
          "type": "sse",
          "url": "http://localhost:8000/sse"
        }
      }
    ]
  }
}

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