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?

Starlette MCP SSE MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. 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

What the assistant can call

Once Starlette MCP SSE is connected, these are the calls the assistant has available:

  • get_alerts — Get weather alerts
  • get_forcast — Get weather forecast
  • Prerequisites — Install UV Package Manager - A fast Python package installer written in Rust:

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Configuration and credentials

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

Choosing this one

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Starlette MCP SSE's toolset — get_alerts, get_forcast, Prerequisites — is a fair guide to whether it matches your workflow. It is maintained by panz2018; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the starlette mcp sse mcp server does with a few real requests.

Available tools

ToolWhat it does
get_alertsGet weather alerts
get_forcastGet weather forecast
PrerequisitesInstall [UV Package Manager](https://docs.astral.sh/uv/) - A fast Python package installer written in Rust:

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.