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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
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    MIT
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    Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
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    A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.
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    Apache 2.0
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    A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.
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    MIT
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    Renders source code as beautiful SVG or PNG images with syntax highlighting, line numbers, and diff support. Ideal for AI agents to present code visually to humans or for sharing snippets.
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    MIT
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    Enables AI assistants to analyze Primavera P6 XER files for insights into critical paths, schedule health, and project performance. It provides 23 specialized tools for managing schedule data, resources, and earned value through local or remote interfaces.
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    MIT
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    Provides access to Deutsche Bahn train timetables, station information, and schedule changes through Model Context Protocol tools and resources.
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    MIT
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    Enables access to Hong Kong government's official open data portal (DATA.GOV.HK) through natural language queries. Supports searching datasets, browsing categories, and retrieving detailed information about Hong Kong's public data resources.
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    MIT
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    Discovers, inspects, and executes requests against OpenAPI or Swagger APIs directly from documentation URLs or specification files. It enables users to trace parameter usage across an API and perform authenticated HTTP requests through a structured toolset.
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    MIT
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    Flowcheck MCP exposes workflow analysis tools from the Flowcheck API so AI agents can detect issues and validate processes programmatically.
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    MIT
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    Enables extraction of content from various web sources including webpages, YouTube transcripts, tweet threads, PDF files, and public Google Docs. It provides specialized tools to convert internet resources into markdown or text for model consumption.
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    MIT
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    Enables AI tools to access student profiles, course lists, grades, page contents, and course materials from the eKursy platform via the Model Context Protocol.
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