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

• llms-mcp

  druellan

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  An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.

  Last updated 9 months ago

  1

  MIT

• content-core

  lfnovo

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  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.

  Last updated 2 months ago

  1

  144

  MIT

• Processing MCP Server

  twelve2five

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  An MCP server that enables AI assistants to create and run Processing sketches directly through natural language commands.

  Last updated 10 months ago

  4

  MIT

• MCP-llms-txt

  SecretiveShell

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  MCP server for SecretiveShell/Awesome-llms-txt. Add documentation directly into your conversation via MCP resources.

  Last updated a year ago

  25

  MIT

• llms-txt-mcp

  tenequm

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  Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.

  Last updated 8 months ago

  3

  MIT

• Web Content MCP Server

  amotivv

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  A server that leverages Cloudflare Browser Rendering to extract and process web content for use as context in LLMs, offering tools for fetching pages, searching documentation, extracting structured content, and summarizing content.

  Last updated a year ago

  4

  10

  MIT