What Python version is required?
Python 3.8 or higher is required.
@codingaslu
Basic information
A lightweight implementation of the Model Context Protocol (MCP) server using Server-Sent Events. Features a Wikipedia article parser that converts content to Markdown format. Demonstrates client-server MCP communication over HTTP.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"http-sse-mcp-starter": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An HTTP SSE-based MCP (Model Context Protocol) server that provides a tool for fetching Wikipedia articles and converting them to Markdown format. It is built with FastMCP and intended for AI assistants and clients that use the Model Context Protocol.
Clone the repository, install dependencies with uv using uv pip install -r requirements.txt, then start the server with python server.py. The server listens on http://localhost:8000 with an SSE endpoint at /sse and a POST endpoint at /messages/. Clients can list server capabilities or fetch a Wikipedia article by passing the article URL as an argument.
Python 3.8 or higher is required.
All dependencies are listed in `requirements.txt` and must be installed using the `uv` package manager.
It uses Server-Sent Events (SSE) for real‑time communication from server to client and a separate POST endpoint (`/messages/`) for incoming messages.
It fetches an article from Wikipedia, parses its HTML content, and converts it to Markdown format.
Two endpoints: `/sse` for SSE connections and `/messages/` for handling POST requests.

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