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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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    Enables LLMs to search for keywords and fetch full page content from Wikipedia across various languages. It provides direct access to Wikipedia information through search and fetch tools.
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    MIT
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    Enables searching and reading Wikipedia articles through tools like search, section listing, and content retrieval. Supports prompt templates and resource suggestions for topic exploration.
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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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    Provides access to Wikipedia through 10 tools including search, article retrieval, summarization, and fact extraction, with multi-language support and robust error handling.
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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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    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.
    Last updated
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    Enables AI models to access and search offline Wikipedia and other knowledge bases stored in ZIM format files. Provides intelligent content retrieval, structured browsing, advanced search capabilities, and metadata extraction for comprehensive offline knowledge access.
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    MIT
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    Local-first MCP server that captures web URLs (X, Reddit, YouTube, Wikipedia, articles) as typed data + Markdown into a self-hosted capture/store/recall substrate, with offline semantic recall. Six tools over a local khiipd daemon; run khiipd serve first.
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    AGPL 3.0
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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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    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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    11
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    MIT
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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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    MIT