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.
AlicenseBqualityDmaintenanceAn MCP server that enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations.32811MITWhy this server?
Provides unified access to multiple search engines and content processing services, allowing parsing of the fetched content through its content processing capabilities.
AlicenseBqualityAmaintenance🔍 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.3298341MITWhy 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.
AlicenseBqualityFmaintenanceEnables retrieval and processing of web page content for LLMs by converting HTML to markdown, with support for content truncation and pagination.13MITWhy 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.42,394812MITWhy this server?
A Model Context Protocol server that provides web content fetching and conversion capabilities, useful for parsing and processing page contents.
AlicenseAqualityDmaintenanceA Model Context Protocol server that provides web content fetching and conversion capabilities.43314MITWhy 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-qualityDmaintenanceA Python implementation of an MCP server that extracts webpage content, removes ads and non-essential elements, and transforms it into clean, LLM-optimized Markdown.4MITWhy 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-qualityDmaintenanceProvides tools for reading and extracting text from PDF files, supporting both local files and URLs.46Why 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.
AlicenseAqualityDmaintenanceA 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.146058MITWhy this server?
Uses PyPDF2 to extract pages and search PDFs, relevant when the pages are PDF files.
AlicenseBqualityDmaintenancemcp 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)576The Unlicense