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.
What is the Wikipedia Summarizer MCP Server?
The Wikipedia Summarizer MCP Server is a Model Client Protocol (MCP) server that fetches and summarizes Wikipedia articles using Ollama LLM models, providing a quick way to extract key information without reading entire articles.
How to use the Wikipedia Summarizer MCP Server?
To use the server, you can either run the command-line client or the Streamlit interface. For the command-line client, you need to connect to the MCP server and request article summaries. For the Streamlit interface, you start the application and enter the URL of the Wikipedia article you want to summarize.
Key features of the Wikipedia Summarizer MCP Server?
- Fetches and summarizes Wikipedia articles using advanced LLM models.
- Provides both command-line and web interface for user interaction.
- Easy setup and installation with clear instructions.
Use cases of the Wikipedia Summarizer MCP Server?
- Quickly summarizing lengthy Wikipedia articles for research purposes.
- Assisting students in understanding complex topics without reading full articles.
- Enabling developers to integrate Wikipedia summarization into their applications.
FAQ from the Wikipedia Summarizer MCP Server?
- Can I use the server without an internet connection?
No, an internet connection is required to fetch Wikipedia articles.
- Is there a limit to the number of articles I can summarize?
No, you can summarize as many articles as you need, as long as the server is running.
- What are the prerequisites for running the server?
You need Python 3.8+, Ollama installed, and an internet connection.
What is the Wikipedia Summarizer MCP Server?
The Wikipedia Summarizer MCP Server is a Model Client Protocol (MCP) server that fetches and summarizes Wikipedia articles using Ollama LLM models, providing a quick way to extract key information without reading entire articles.
How to use the Wikipedia Summarizer MCP Server?
To use the server, you can either run the command-line client or the Streamlit interface. For the command-line client, you need to connect to the MCP server and request article summaries. For the Streamlit interface, you start the application and enter the URL of the Wikipedia article you want to summarize.
Key features of the Wikipedia Summarizer MCP Server?
- Fetches and summarizes Wikipedia articles using advanced LLM models.
- Provides both command-line and web interface for user interaction.
- Easy setup and installation with clear instructions.
Use cases of the Wikipedia Summarizer MCP Server?
- Quickly summarizing lengthy Wikipedia articles for research purposes.
- Assisting students in understanding complex topics without reading full articles.
- Enabling developers to integrate Wikipedia summarization into their applications.
FAQ from the Wikipedia Summarizer MCP Server?
- Can I use the server without an internet connection?
No, an internet connection is required to fetch Wikipedia articles.
- Is there a limit to the number of articles I can summarize?
No, you can summarize as many articles as you need, as long as the server is running.
- What are the prerequisites for running the server?
You need Python 3.8+, Ollama installed, and an internet connection.
