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Wikipedia Summarizer MCP Server

@codingaslu

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トランスポート

stdio

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codingaslu

Wikipedia Summarizer MCP Server について

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

Wikipedia Summarizer MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Wikipedia Summarizer MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

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.

2

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`.

3

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).

4

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".

5

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`.

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