Wikipedia Summarizer MCP Server

Name: Wikipedia Summarizer MCP Server
Author: codingaslu

@codingaslu

关于 Wikipedia Summarizer MCP Server

An MCP (Model Context Protocol) server that fetches and summarizes Wikipedia articles using Ollama LLMs, accessible via both command-line and Streamlit interfaces. Perfect for quickly extracting key information from Wikipedia without reading entire articles.

#wikipedia #summarizer #mcp-server

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

codingaslu

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "Streamlit-as-an-MCP-Host": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "requirements.txt"
      ]
    }
  }
}

工具

未检测到工具

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 Wikipedia Summarizer MCP Server?

It is an MCP server that fetches Wikipedia articles and summarizes them using local Ollama LLM models. It includes a command-line client and a Streamlit web interface for easy interaction.

How to use Wikipedia Summarizer MCP Server?

Install Python 3.8+ and Ollama (with the deepseek-r1:1.5b model), clone the repository, and install dependencies with uv pip install -r requirements.txt. Start the server with uv run -- ollama_server.py (available at http://localhost:8000/sse). Use the command-line client with uv run -- updated_client.py <server_url> <wikipedia_url> or launch the Streamlit interface with uv run -- streamlit run streamlit_new.py, then enter the server URL and article URL in the browser.

Key features of Wikipedia Summarizer MCP Server

MCP server providing a summarize_wikipedia_article tool
Command-line client for direct summarization requests
Streamlit web interface for interactive use
Uses Ollama LLM models (default deepseek-r1:1.5b)
Fetches Wikipedia article content and converts to markdown

Use cases of Wikipedia Summarizer MCP Server

Summarize any Wikipedia article using a local LLM
Automate article summarization via command-line client
Provide a web UI for non-technical users to get summaries

FAQ from Wikipedia Summarizer MCP Server

What are the prerequisites for running the server?

Python 3.8+, Ollama installed and running locally with the deepseek-r1:1.5b model, and an internet connection to fetch Wikipedia articles.

How do I install and run the server?

Clone the repository, run uv pip install -r requirements.txt, then start the server with uv run -- ollama_server.py. The server listens at http://localhost:8000/sse.

How do I use the command-line client?

Run uv run -- updated_client.py http://localhost:8000/sse https://en.wikipedia.org/wiki/Python_(programming_language) (replace the URLs as needed).

How do I use the Streamlit interface?

Run uv run -- streamlit run streamlit_new.py, open the provided URL in a browser, enter the MCP server URL and a Wikipedia article URL, then click "Fetch and Summarize Article".

What Ollama model does the server use by default?

It uses the deepseek-r1:1.5b model by default, but you can change it in ollama_server.py.

其他分类下的更多 MCP 服务器

Reactive Resume

amruthpillai

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

39.5K

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K

Unity MCP ✨

justinpbarnett

Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

12.2K