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Retrieves information from Wikipedia to provide context to Large Language Models (LLMs).

关于

This tool acts as a Model Context Protocol (MCP) server, designed to enhance the capabilities of Large Language Models by feeding them relevant information sourced directly from Wikipedia. By allowing LLMs to access and process Wikipedia's vast knowledge base, the server enables more informed and context-aware responses to user queries, ultimately improving the quality and accuracy of AI-driven interactions.

主要功能

  • Get full article content
  • Find links within articles
  • 1 GitHub stars
  • Search Wikipedia articles
  • Retrieve article summaries
  • Extract article sections

使用案例

  • Answer user questions with Wikipedia information
  • Provide context to LLMs
  • Summarize topics based on Wikipedia articles
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