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extract-llms-docs
extract-llms-docs logo

extract-llms-docs

Active·★ 35·NOASSERTION·Updated 2026-10-20

llm.energy is a web application and MCP server designed to fetch, parse, and organize documentation from websites following llms.txt and install.md standards. It transforms this raw documentation into structured, agent-ready formats for AI assistants, LLMs, and developer tooling.

#Documentation Extraction#AI Agent Tooling#LLM Integration#install.md Generation#Web Scraping#API#TypeScript
$ Install
$ git clone https://github.com/nirholas/extract-llms-docs.git && cd extract-llms-docs && pnpm install
↗ Visit site★ GitHub
01

Features

01Smartly detects llms.txt and install.md standards on websites.
02Transforms documentation into agent-ready formats, including an AGENT-GUIDE.md.
03Supports exporting documentation in Markdown, JSON, YAML, or ZIP formats.
04AI-powered generation of install.md instructions from GitHub repos or documentation URLs.
05Provides an MCP server for integration with AI clients like Claude Desktop and Cursor.
02

Compatibility

TypeScript
Language
Verified via docs
Node.js
Runtime
Verified via docs
Next.js
Web Framework
Verified via docs
MCP Clients
Integration
Verified via docs
03

Quick start

1
$ git clone https://github.com/nirholas/extract-llms-docs.git
2
$ cd extract-llms-docs
3
$ pnpm install
04

Use cases

↳Feed documentation directly to AI coding assistants for enhanced context.
↳Build AI agents with up-to-date documentation for improved context-awareness.
↳Establish documentation pipelines specifically for Retrieval-Augmented Generation (RAG) systems.
↳Automatically aggregate documentation from various sources.
↳Generate llms.txt and install.md instructions for new or existing projects.
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
nirholas /
extract-llms-docs
↗

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

35
Last commit2d ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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