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    Wikipedia MCP server (read-only): search articles, read plain-language summaries or full text, follow links, browse categories, pull references with source URLs, flag missing citations, resolve disambiguation pages, and check revision history and pageview stats — all via the public Wikipedia API.
    51
    1
    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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    Wraps the Wikipedia REST API to allow AI agents to query Wikipedia content without authentication.
    14 npm
    MIT
  • F
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    Enables LLM agents to search Wikipedia and retrieve page content via Model Context Protocol tools, supporting natural language research.
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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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    Enables AI assistants to access Wikipedia content, search articles, retrieve historical events, and fetch images through the Wikipedia API.
    4
    7 npm
    1
    MIT
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    Provides Wikipedia page view trend data including spike detection, historical traffic, and cross-platform comparison, enabling AI to access a leading indicator of public curiosity.
    MIT
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    Provides comprehensive Wikipedia access for AI assistants via MCP Streamable HTTP transport, enabling search, article retrieval, summaries, section analysis, link discovery, and multi-language support.
    2
    MIT
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    Search Wikipedia's ~50,000 Vital Articles from a local index and retrieve article summaries, infobox facts, and specific section text.
    MIT
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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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    This MCP server provides Wikipedia page view trend data, enabling AI to detect spikes, view historical traffic, and compare cross-platform trends to gauge public curiosity.
    3
    MIT
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    Enables searching and retrieving images from Wikipedia Commons with detailed metadata including licenses and authors.
    2
    24 npm
    11
    MIT
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    Enables AI agents to discover official public data sources, inspect their metadata and endpoint parameters, and execute live queries through a unified response envelope with a 500 ms budget.
    MIT
  • F
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    An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.
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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.
    14 npm
    MIT
  • F
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    MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.
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