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.
Wikipedia Summarizer MCP Server
@codingaslu
Basic information
About 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 config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Streamlit-as-an-MCP-Host": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}Wikipedia Summarizer MCP Server tools
Tool list not available yet
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Overview
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_articletool - 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
Frequently asked questions
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`.
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