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"Using LLMs for Retrieving and Processing Web Content" matching MCP servers:

  • Web Content Extractor MCP

    agenson-tools
    A
    license
    A
    quality
    C
    maintenance
    Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.
    5
    81
    MIT

  • content-core

    lfnovo
    A
    license
    A
    quality
    B
    maintenance
    Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
    2
    168
    MIT

  • web-mcp

    Chang-Tong
    A
    license
    -
    quality
    B
    maintenance
    MCP server for multi-engine web search and web page fetching, supporting parallel search, content extraction, and optional LLM-powered search summarization and deep search.
    2
    MIT

  • MedAdapt Content Server

    ryoureddy
    A
    license
    -
    quality
    D
    maintenance
    A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.
    7
    MIT

  • content-contracts-mcp-server

    MauricioPerera
    A
    license
    A
    quality
    C
    maintenance
    MCP server exposing content contract validators (SEO.md, PRODUCTHUNT.md, LINKEDIN.md) as tools so AI agents can verify generated content against concrete rules without maintaining linters. It provides linting and JSON-LD export tools with config and content passed as parameters, not file paths.
    4
    MIT

  • cute-web-scraper

    maccydee
    A
    license
    A
    quality
    B
    maintenance
    MCP server for web scraping with natural language, enabling site crawling, page fetching, and extraction of emails, phones, links, and social profiles. Returns clean markdown, handles JavaScript rendering, and respects rate limits.
    8
    MIT

  • MCP Content Credentials Server

    noga7
    A
    license
    A
    quality
    D
    maintenance
    Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.
    2
    MIT

  • web-doctor

    Baneado98
    A
    license
    A
    quality
    B
    maintenance
    Enables live website health checks including TLS, HTTPS, and security headers, returning an A-F grade with specific fixes.
    2
    MIT

  • gemini-web-mcp

    TakashiAihara
    A
    license
    A
    quality
    F
    maintenance
    MCP server for querying Google Gemini Web from Claude Code and other MCP clients, using cookie-based authentication. Enables creating, continuing, listing, viewing, and deleting Gemini chat conversations with model and thinking mode control.
    6
    AGPL 3.0

  • content-validity-index-mcp

    cakrawala-tumbuh
    A
    license
    A
    quality
    B
    maintenance
    Enables AI clients to browse instruments, items, dimensions, expert assignments, and calculate Content Validity Index (CVI) via a standard MCP interface.
    11
    MIT

  • Content Plan Builder

    smcdonnell7
    F
    license
    A
    quality
    D
    maintenance
    An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.
    1

  • Web Analysis MCP

    himly0302
    F
    license
    B
    quality
    F
    maintenance
    Enables intelligent web searching using SearXNG with content crawling via Creeper, then summarizes webpage content using LLM to avoid token limit issues. Supports smart filtering with domain blacklist/whitelist and optional LLM-based relevance filtering.
    1