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Starlette MCP SSE

by panz2018

A Server-Sent Events (SSE) implementation using Starlette framework with Model Context Protocol (MCP) integration. It demonstrates how to implement MCP using Server-Sent Events (SSE) in a Starlette web application.

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What is Starlette MCP SSE?

This project is a Server-Sent Events (SSE) implementation using the Starlette framework, integrated with the Model Context Protocol (MCP). It provides a unified web application with both MCP and standard web endpoints.

How to use Starlette MCP SSE?

To use this server, you can either run it directly using UV's execution tool or perform a full installation by creating a virtual environment, activating it, installing dependencies, and starting the integrated server. After starting the server, you can access various endpoints, including standard web routes and MCP SSE endpoints. For debugging MCP functionality, you can use the MCP Inspector.

Key features of Starlette MCP SSE

  • 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

Use cases of Starlette MCP SSE

  • Integrating AI models with external tools and data sources

  • Building AI systems with up-to-date information

  • Creating interoperable AI models and tools

  • Extending AI systems with new capabilities without retraining

FAQ from Starlette MCP SSE

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI models to interact with external tools and data sources.

How do I install the server?

You can either run it directly using UV's execution tool or perform a full installation by creating a virtual environment and installing dependencies.

What endpoints are available?

The server provides standard web routes (/, /about, /status, /docs) and MCP SSE endpoints (/sse, /messages/).

How do I debug MCP functionality?

You can use the MCP Inspector to test and debug MCP functionality.

How do I integrate this server with Continue?

Add the provided configuration to your Continue VS Code extension settings.