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Wikipedia

progamesignerbyprogamesigner
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2
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Developer Tools
Data Science & ML
Web Scraping & Data Collection

Provides a Model Context Protocol interface for querying Wikipedia content.

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Designed as a Model Context Protocol (MCP) server, this tool empowers Large Language Models (LLMs) to seamlessly access and retrieve information directly from Wikipedia. It serves as a crucial bridge, allowing AI systems to leverage the vast knowledge base of Wikipedia for enhanced understanding and informed responses.

Key Features

010 GitHub stars
02Search Wikipedia by keyword with language specification
03Fetch Wikipedia page content by ID with language specification
04Easy installation via uv or pip
05Supports Docker deployment

Use Cases

01Providing factual information for AI applications
02Integrating Wikipedia knowledge into Large Language Models
03Enabling Wikipedia search for chatbots and virtual assistants