MCP to explore websites with llms.txt files

🌼 A token-friendly local MCP server for DaisyUI component documentation using their public llms.txt.

llms.txt -> MCP converter and other tools for the adoption of the `llms.txt` standard

Minimal example of MCP for parsing llms.txt

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

Extract documentation for AI agents from any site with llms.txt support. Features MCP server, REST API, batch processing, and multiple export formats.

This repository publishes machine-readable llms.txt files generated from large‑scale SN33 processing of Common Crawl data. SN33 analyzes web content at scale using named-entity recognition, semantic tagging, and structural extraction to create AI-ready knowledge surfaces for websites. These surfaces make it easier for LLM agents and MCP .

MCP PDF Processor , Fetches, proceses to llm.txt, and loads the llm.txt to your AI

A powerful MCP server that automatically generates llms.txt and llms-full.txt files for any website

An MCP that RAGs llms.txt entries

A set of .clinerules and llms.txt for mcp creation using Cline! or Roo Code

Lean MCP server for fast llms.txt documentation access

llms.txt MCP server

Smart router for documentation extraction: llms.txt → MCP → Universal Harvester

⚛️💎 llms.txt/MCP for helping AI port React libs to Solid.

Create an expert agent from any llms.txt accessible by your coding agent with MCP

Simple MCP server implementation for halans.com for use with a static Hugo blog with llms-full.txt deployed on Cloudflare

Convert any URL to clean Markdown. Cloudflare Worker with 14 site adapters, MCP Server, Agent Skills, llms.txt. Open source, Apache-2.0.

An MCP (Model Context Protocol) server that exposes the `llms.txt` file from your project root as a resource for AI context enhancement.

A C#/.NET MCP (Model Context Protocol) server and library that implements llms.txt-aware content retrieval, validation, and caching for AI agent systems.

An agent-based RAG chatbot that answers questions from PDF, DOCX, PPTX, CSV, TXT, and MD files — powered by custom agents, vector search, and LLMs using the Model Context Protocol (MCP). Built with Streamlit.

No description available

No description available

Repository simply for hosting OpenWebUI's mcpo documentation in llms.txt format to help those vibe coders ;)

No description available

No description available

GitHub RAG MCP using llms.txt

Turn llms.txt + llms-full.txt into a fast MCP server with caching and search.

MCP support add llm.txt for websites

Simple MCP Server For Reading LLMs.txt Docs