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maintenanceAn MCP server that enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations.
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MIT
Why this server?
Enables fetching web content using the Node.js undici library, supporting various HTTP methods and content formats, which is essential for parsing pages.
Why this server?
Provides unified access to multiple search engines and content processing services, allowing parsing of the fetched content through its content processing capabilities.
AlicenseBqualityBmaintenance🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.Last updated3600303Why this server?
Enables retrieval and processing of web page content for LLMs by converting HTML to markdown, which aids in parsing and understanding web page structures.
AlicenseBqualityCmaintenanceEnables retrieval and processing of web page content for LLMs by converting HTML to markdown, with support for content truncation and pagination.Last updated13MITWhy this server?
Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown, making it suitable for parsing diverse page structures.
AlicenseAqualityCmaintenanceProvides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown.Last updated243,025748MITWhy this server?
A Model Context Protocol server that provides web content fetching and conversion capabilities, useful for parsing and processing page contents.
AlicenseAqualityCmaintenanceA Model Context Protocol server that provides web content fetching and conversion capabilities.Last updated43594MITWhy this server?
A Python implementation that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown, facilitating easier parsing.
Alicense-qualityCmaintenanceA Python implementation of an MCP server that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown.Last updated4MITWhy this server?
Provides tools for reading and extracting text from PDF files, supporting both local files and URLs, which might be needed when dealing with PDFs that are technically considered pages.
Flicense-qualityCmaintenanceProvides tools for reading and extracting text from PDF files, supporting both local files and URLs.Last updated44Why this server?
A Model Context Protocol server that enables interaction with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.
AlicenseAqualityCmaintenanceA Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.Last updated149755MITWhy this server?
Uses PyPDF2 to extract pages and search PDFs, relevant when the pages are PDF files.
AlicenseBqualityCmaintenancemcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)Last updated574The Unlicense