Wikipedia MCP Server
Overview
what is Wikipedia MCP Server?
Wikipedia MCP Server is a server designed for searching and analyzing Wikipedia articles using AI models, enabling users to retrieve relevant information efficiently.
how to use Wikipedia MCP Server?
To use the server, you need to install the dependencies, set the required environment variables, and run the server. You can then make API calls to search, evaluate, or analyze articles.
key features of Wikipedia MCP Server?
- Search articles using AI models with relevance scoring.
- Evaluate articles for their relevance and quality.
- Analyze articles to gain insights and summaries.
- Real-time server statistics and error handling.
use cases of Wikipedia MCP Server?
- Researchers can quickly find relevant Wikipedia articles on specific topics.
- Students can evaluate the quality of articles for academic purposes.
- Developers can integrate the server into applications for enhanced content analysis.
FAQ from Wikipedia MCP Server?
- What AI models does the server support?
The server supports models like gpt-3.5-turbo, gpt-4, claude-2, and mistral-7b.
- How do I run the server?
You need to install dependencies, set the OPENROUTER_API_KEY, and run the server using Python.
- Can I customize the number of results returned?
Yes, you can specify the limit of results in the search request.
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