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Wikipedia Summarizer MCP Server

by codingaslu

This is a Model Client Protocol (MCP) server that fetches Wikipedia articles and summarizes them using Ollama LLM models. It provides a command-line client and a Streamlit web interface for easy interaction.

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What is Wikipedia Summarizer MCP Server?

This server is a Model Client Protocol (MCP) server designed to summarize Wikipedia articles. It leverages Ollama LLM models to generate concise summaries of fetched articles.

How to use Wikipedia Summarizer MCP Server?

First, install Ollama and ensure the deepseek-r1:1.5b model is running. Then, clone the repository, install the requirements, and start the server using uv run -- ollama_server.py. You can then use the command-line client or the Streamlit interface to provide a Wikipedia URL and request a summary.

Key features of Wikipedia Summarizer MCP Server

  • Summarizes Wikipedia articles

  • Uses Ollama LLM models

  • Provides a command-line client

  • Includes a Streamlit web interface

  • Fetches and converts articles to markdown

Use cases of Wikipedia Summarizer MCP Server

  • Quickly summarizing Wikipedia articles for research

  • Integrating a summarization tool into other applications

  • Providing a user-friendly interface for accessing LLM-powered summarization

  • Educational purposes

  • Automated content generation

FAQ from Wikipedia Summarizer MCP Server

What is an MCP server?

MCP stands for Model Client Protocol. It is a protocol for communication between a client and a server, allowing the client to request specific actions from the server.

What is Ollama?

Ollama is a tool that allows you to run open-source large language models locally.

What model does the server use by default?

The server uses the deepseek-r1:1.5b model by default. This can be changed in the ollama_server.py file.

How do I change the Ollama model used?

You can modify the ollama_server.py file to specify a different Ollama model.

What if the Streamlit app URL is different from localhost:8501?

Streamlit will provide the URL in the console when you run the app. Use that URL to access the interface in your browser.