MCP.so
登录

MCP Wiki Reader

@Ayesha0300

基本信息

分类

记忆与知识

传输方式

stdio

作者

Ayesha0300

关于 MCP Wiki Reader

暂无概览

MCP Wiki Reader 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

MCP Wiki Reader 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 Wiki Reader?

It is a FastMCP-based server that fetches a Wikipedia article via URL, extracts its main content using BeautifulSoup, and converts the HTML to Markdown. Built with uv for fast Python package management, it is intended for applications that need clean Wikipedia article text.

How to use 🧠 MCP Wiki Reader?

Start the server by running mcp dev src/mcp_wiki/server.py from the project root. Once running at http://127.0.0.1:6274, call the registered wiki tool’s method read_wikipedia_article("https://en.wikipedia.org/wiki/<article>"). Dependencies are managed with uv pip install -r requirements.txt.

Key features of 🧠 MCP Wiki Reader

  • Fetch a Wikipedia article via URL
  • Parse article content using BeautifulSoup
  • Convert HTML content to Markdown
  • Robust error handling with custom MCP error types
  • Registered as the wiki tool in FastMCP

Use cases of 🧠 MCP Wiki Reader

  • Extract Wikipedia article text for inclusion in documentation or reports
  • Provide clean Markdown content to AI agents or language models
  • Build a knowledge base by programmatically retrieving article summaries

常见问题

1

What runtime and dependencies are required?

Python 3.10+ and the `uv` package manager. Dependencies are listed in `requirements.txt` and installed via `uv pip install -r requirements.txt`.

2

How do I invoke the article-reading tool?

Use the tool’s method `read_wikipedia_article` with a valid Wikipedia article URL as argument. The server exposes it under the resource name `wiki`.

3

Where does the server run?

Locally at `http://127.0.0.1:6274` when started with `mcp dev src/mcp_wiki/server.py`. No remote hosting is described.

4

Does the server store any data?

No. It fetches content live from Wikipedia on each request and converts it to Markdown; no local persistence is mentioned.

评论

记忆与知识 分类下的更多 MCP 服务器