Wikipedia
Retrieves information from Wikipedia to provide context to Large Language Models (LLMs).
About
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.
Key Features
- Get full article content
- Find links within articles
- 1 GitHub stars
- Search Wikipedia articles
- Retrieve article summaries
- Extract article sections
Use Cases
- Answer user questions with Wikipedia information
- Provide context to LLMs
- Summarize topics based on Wikipedia articles
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