MCP Server with Wikipedia Article Tool

@codingaslu

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

codingaslu

关于 MCP Server with Wikipedia Article Tool

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.

#http-sse#mcp#wikipedia-parser

MCP Server with Wikipedia Article Tool 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "http-sse-mcp-starter": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "requirements.txt"
      ]
    }
  }
}

MCP Server with Wikipedia Article Tool 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Server with Wikipedia Article Tool?

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.

How to use MCP Server with Wikipedia Article Tool?

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.

Key features of MCP Server with Wikipedia Article Tool

Fetches and converts Wikipedia articles to Markdown.
Uses Server-Sent Events (SSE) for communication.
Provides Tools, Resources, and Prompts as MCP capabilities.
Built with FastMCP and Python for easy setup.

Use cases of MCP Server with Wikipedia Article Tool

Integrating Wikipedia article retrieval into AI assistant workflows.
Converting Wikipedia content to plain Markdown for documentation or analysis.
Demonstrating or prototyping an HTTP SSE-based MCP server.

常见问题

What Python version is required?

Python 3.8 or higher is required.

What dependencies does it need?

All dependencies are listed in `requirements.txt` and must be installed using the `uv` package manager.

How does the server communicate with clients?

It uses Server-Sent Events (SSE) for real‑time communication from server to client and a separate POST endpoint (`/messages/`) for incoming messages.

What does the `read_wikipedia_article` tool do?

It fetches an article from Wikipedia, parses its HTML content, and converts it to Markdown format.

What endpoints does the server expose?

Two endpoints: `/sse` for SSE connections and `/messages/` for handling POST requests.

开发工具分类下的更多 MCP 服务器

Moxie Docs

Jackalope-Dev

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Termany

thinkany-ai

Agent-Native Terminal

174

Modelglass

Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

Just Domain.

Just.

Just Domain is the domain registrar for businesses built with AI. An AI assistant checks availability and both prices, first year and renewal, and hands back a checkout link for justdomain.ai. Read only by design: no pur

Vibgrate MCP

Vibgrate

Query your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up