Wiki MCP Server
What is the Wikipedia MCP Server?
The Wikipedia MCP Server is an AI-based tool for searching and analyzing articles on Wikipedia. It supports multiple language models to help users quickly find relevant information and generate in-depth analyses.How to use the Wikipedia MCP Server?
Users can search for articles, evaluate article relevance, and conduct in-depth analyses through simple API requests. Just set up the environment variables and start the server to begin using it.Applicable scenarios
Suitable for researchers, journalists, students, and other users interested in specific topics who need to efficiently obtain Wikipedia information.Main Features
Search for articlesSearch for relevant Wikipedia articles by keywords and return the processing progress and results in real-time.
Evaluate articlesConduct relevance scoring and detailed analysis on selected articles.
In-depth analysisUse advanced AI models to deeply explore article content and generate insights.
View server statusGet server operation statistics, including the number of requests, the number of errors, and the latest update time.
Advantages and Limitations
Advantages
A powerful search engine supporting multi-language models.
Real-time feedback on processing progress to enhance the user experience.
Easy to integrate into existing systems.
Limitations
A stable network connection is required to ensure smooth operation.
Some advanced features may be affected by API limitations.
How to Use
Install dependencies
Ensure that Python and the required libraries are installed. Run the following command to install dependencies: `pip install -r requirements.txt`.
Set environment variables
Set the necessary environment variables, such as the API key. An example is as follows: `export OPENROUTER_API_KEY=your_api_key`.
Start the server
Run the script to start the server: `python wiki_mcp_server.py`.
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