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    An MCP server that enables AI assistants to fetch web content in multiple formats (HTML, JSON, text, Markdown) with intelligent content extraction, chunk management, and browser automation support.
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    MIT
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    Enables AI assistants to search, compare, and get detailed information about MCP servers from the mcpcatalogs.com directory.
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    MIT
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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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    Enables AI assistants to read recent emails and fetch full email content from an IMAP inbox, allowing natural language queries about email summaries.
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    A Model Context Protocol server that allows interaction with the RubyGems.org API to fetch metadata about Ruby packages, search gems, and explore dependencies and ownership information.
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    Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown with support for custom headers.
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    MIT
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    MCP server for codewiki.google — AI-powered wiki documentation for open-source repositories. Search repos, fetch wiki content, and ask questions about any repo.
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    MIT
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    A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.
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    MIT
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    A Model Context Protocol server that allows AI models to fetch detailed information about npm packages and discover popular packages in the npm ecosystem.
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    An MCP server that fetches web content and converts it to clean markdown using the Defuddle library, enabling LLMs to read web pages with better extraction than the default fetch server.
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    MIT
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    Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
    104,416
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    Enables searching and retrieving detailed information about MCP servers from the official MCP registry. Provides tools to list servers with filtering options and get comprehensive details about specific servers.
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    MIT
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    Enables AI assistants to query and fetch error and performance monitoring data from AppSignal through the Model Context Protocol. Supports searching and retrieving detailed information about application errors and performance samples with flexible filtering options.
    5
    MIT