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"Wikipedia" matching MCP servers:

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    Enables AI agents to search, read, and explore Wikipedia articles via tools like summaries, categories, and random articles, with no API keys required.
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    MIT
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    Provides comprehensive access to Wikipedia content including article search, full text retrieval, summaries, categories, links, images, language versions, and external references through 9 specialized tools.
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    MIT
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    Provides Claude with real-time access to Wikipedia through four essential tools: search articles, get full content, retrieve summaries, and find related articles. Enables comprehensive Wikipedia research workflows with structured data access and no API keys required.
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    An MCP server that retrieves and provides Wikipedia content for requested topics, enabling easy access to Wikipedia information directly through the Model Control Protocol.
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    A production-ready server that provides Wikipedia search and content retrieval tools through the Model Context Protocol, enabling AI assistants to search for articles, list sections, and retrieve specific content.
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    Delivers comprehensive company intelligence in a single tool call, aggregating profiles, tech stacks, key people, news, and corporate data from any domain or company name. Sources data from Wikipedia, GitHub, OpenCorporates, and web scraping to provide structured business insights using only free public APIs.
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    Enables web search through Google and Wikipedia plus content extraction from any webpage via the Seekr API. Provides real-time search results with advanced filtering options and clean text extraction capabilities.
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    An MCP server that provides offline access to ZIM file archives, including Wikipedia, medical knowledge, and maps. It dynamically exposes tools like search, article retrieval, and driving route planning based on available ZIM files.
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    An MCP server that enables web searching, URL content extraction, and summarization without requiring API keys. It also provides advanced mathematical evaluation and multi-language Wikipedia summary retrieval tools.
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    AI-powered deep research agent with multi-source search (DuckDuckGo, Google News, Reddit, Wikipedia), structured analysis (SWOT, comparisons, timelines, Google Trends), financial data with charts, and PDF report generation. 11 MCP tools. Multi-LLM support (DeepSeek, Gemini, GLM, OpenAI).
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    MIT
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    A minimal MCP server implementation designed for learning how to integrate tools like echo, time retrieval, and Japanese Wikipedia search with Claude Desktop. It serves as a foundational template for developing custom server capabilities using the TypeScript MCP SDK.
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    An MCP server that enables LLMs to search, summarize, and retrieve detailed information from Wikipedia across multiple languages. It supports automated fact-checking by allowing models to proactively verify factual claims using Wikipedia's database.
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    This MCP server enables AI assistants to search for images on Wikimedia Commons, providing detailed metadata and optional thumbnail combinations to assist AI models in visual comparisons.
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    Apache 2.0
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    A Model Context Protocol server that enhances LLM capabilities by connecting to Wikipedia, internet search (Tavily), and financial data (Yahoo Finance) tools, enabling contextual responses to user queries.
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    A multi-tool MCP server that enhances local LLMs with web search, document reading, scholarly research, Wikipedia access, and calculator functions. Provides comprehensive tools for information retrieval and computation without requiring API keys by default.
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    A MCP server that fetches and renders Baidu Baike (Chinese Wikipedia) discussion content, allowing users to access encyclopedia article discussions and generate readable analysis of the structured data.
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