Starlette MCP SSE MCP Server

A working example to create a starlette server with SSE-based MCP support

Local serverstdioPython

What is the Starlette MCP SSE MCP Server?

A working example to create a starlette server with SSE-based MCP support

What you get

A Server-Sent Events (SSE) implementation using Starlette framework with Model Context Protocol (MCP) integration.

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:

  • 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

Configuration and credentials

Install UV Package Manager - A fast Python package installer written in Rust:

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
get_alertsGet weather alerts
get_forcastGet weather forecast

Configuration

Install UV Package Manager - A fast Python package installer written in Rust:

Example prompts to try

  • “Use Starlette MCP SSE to get alerts.”
  • “Use Starlette MCP SSE to get forcast.”
  • “Use Starlette MCP SSE to Prerequisites.”

Frequently asked questions

MCP is an open standard that lets AI models interact with external tools and data sources, solving context limitations, tool integration, interoperability, and extensibility challenges.