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  3. Documentation Extractor
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Documentation Extractor

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

Extract llms.txt from any docs site - Mintlify Docusaurus GitBook parser

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "documentation-extractor": {
      "command": "npx",
      "args": [
        "-y",
        "documentation-extractor"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

llm.energy

llm.energy - Extract Documentation for AI Agents

Extract llms.txt documentation and install.md instructions from any website for AI agents, LLMs, and automation workflows.

llm.energy

llms-full-txt.vercel.app

Website Documentation npm version

TypeScript Next.js Proprietary License PRs Welcome

πŸ“– Overview

llm.energy is a web application and MCP server that fetches, parses, and organizes documentation from websites implementing the llms.txt and install.md standards. It transforms raw documentation into structured, agent-ready formats optimized for large language models, AI assistants, and developer tooling.

StandardDescriptionLearn More
llms.txtMachine-readable documentation for AI systemsllmstxt.org
install.mdLLM-executable installation instructionsinstallmd.org

✨ Key Features

FeatureDescription
πŸ” Smart DetectionAutomatically finds llms.txt, llms-full.txt, and install.md
πŸ“„ Organized OutputSplits content into individual markdown files by section
πŸ€– Agent-ReadyIncludes AGENT-GUIDE.md optimized for AI assistants
πŸ“¦ Multiple FormatsExport as Markdown, JSON, YAML, or ZIP archive
πŸ”Œ MCP ServerIntegrate with Claude Desktop, Cursor, and more
⚑ Batch ProcessingProcess multiple URLs simultaneously
πŸ“š Site DirectoryBrowse 19+ curated llms.txt-enabled websites
✏️ llms.txt GeneratorCreate your own llms.txt files with a guided wizard
πŸš€ install.md GeneratorAI-powered: generate from GitHub repos, docs URLs, or manually

🎯 Use Cases

Code
─────────────────────────────────────────────────────────────────
                                                                 
   πŸ“ Feed docs to AI coding assistants (Cursor, Windsurf)       
   πŸ€– Build context-aware AI agents with up-to-date docs         
   πŸ”„ Create documentation pipelines for RAG systems            
   πŸ“¦ Aggregate docs from multiple sources automatically        
   ✏️  Generate llms.txt/install.md for your own projects       
   πŸš€ Auto-generate install.md from any GitHub repo             
                                                                 
─────────────────────────────────────────────────────────────────

πŸš€ install.md Generator

Generate LLM-executable installation instructions from any source:

ModeDescriptionUse Case
From GitHubAnalyze any public GitHub repo and generate install.mdPerfect for creating install.md for existing projects
From URLExtract from any documentation pageConvert existing docs to install.md format
ManualBuild from scratch with guided wizardFull control over every detail

How It Works

  1. GitHub Mode: Analyzes README, package.json/pyproject.toml/Cargo.toml, GitHub Actions, and releases
  2. URL Mode: Scrapes documentation pages, detects platforms (Mintlify, Docusaurus, GitBook, etc.)
  3. AI Synthesis: Uses Claude to generate a properly formatted install.md

Quick Example

bash
# Generate install.md for any GitHub project
curl -X POST https://llm-energy-lp642k3kpa-uc.a.run.app/api/generate-install \
  -H "Content-Type: application/json" \
  -d '{"url": "https://github.com/anthropics/anthropic-sdk-python", "type": "github"}'

Visit llm.energy/install-generator to use the web interface.


πŸ“š Documentation

Full documentation is available at llm.energy/docs


πŸš€ Installation

Web Application

Visit llm.energy to use the hosted version.

Local Development

bash
# Clone the repository
git clone https://github.com/nirholas/extract-llms-docs.git
cd extract-llms-docs

# Install dependencies
pnpm install

# Start development server
pnpm dev

🌐 The application runs on http://localhost:3001

MCP Server

πŸ“¦ Click to expand MCP Server setup

Add to your MCP client configuration (Claude Desktop, Cursor, etc.):

config.json
{
  "mcpServers": {
    "llm-energy": {
      "command": "npx",
      "args": ["-y", "@llm-energy/mcp-server"]
    }
  }
}

See MCP Server Documentation for detailed setup.


πŸ”Œ API Reference

POST /api/extract - Extract documentation from a URL
Terminal
curl -X POST https://llm-energy-lp642k3kpa-uc.a.run.app/api/extract \
  -H "Content-Type: application/json" \
  -d '{"url": "docs.anthropic.com"}'

Response includes parsed sections, metadata, and download URLs.

POST /api/validate - Check if URL has llms.txt support
Terminal
curl -X POST https://llm-energy-lp642k3kpa-uc.a.run.app/api/validate \
  -H "Content-Type: application/json" \
  -d '{"url": "docs.example.com"}'
POST /api/batch - Process multiple URLs
Terminal
curl -X POST https://llm-energy-lp642k3kpa-uc.a.run.app/api/batch \
  -H "Content-Type: application/json" \
  -d '{"urls": ["docs.anthropic.com", "docs.stripe.com"]}'
GET /api/download - Download in various formats
bash
# Formats: markdown, json, yaml, zip
curl "https://llm-energy-lp642k3kpa-uc.a.run.app/api/download?url=docs.anthropic.com&format=zip"
POST /api/generate-install - AI-generate install.md from GitHub or docs URL
bash
# Generate from a GitHub repository
curl -X POST https://llm-energy-lp642k3kpa-uc.a.run.app/api/generate-install \
  -H "Content-Type: application/json" \
  -d '{"url": "https://github.com/anthropics/anthropic-sdk-python", "type": "github"}'

# Generate from a documentation URL
curl -X POST https://llm-energy-lp642k3kpa-uc.a.run.app/api/generate-install \
  -H "Content-Type: application/json" \
  -d '{"url": "https://docs.anthropic.com/en/docs/quickstart", "type": "docs"}'

# Analyze only (preview mode)
curl "https://llm-energy-lp642k3kpa-uc.a.run.app/api/generate-install?url=https://github.com/anthropics/anthropic-sdk-python&type=github"

πŸ“– Full API Reference β†’


πŸ€– MCP Server Tools

The MCP server exposes the following tools for AI agents:

ToolDescription
extract_docsExtract documentation from a URL with llms.txt support
validate_urlCheck if a URL has llms.txt available
verify_llms_txtVerify llms.txt exists and get file info
discover_documentation_urlsFind documentation URLs for a domain
list_sitesGet directory of known llms.txt-enabled sites
search_sitesSearch the site directory by category or keyword

πŸ—οΈ Architecture

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Documentation Extractor

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "documentation-extractor": { "command": "npx", "args": ["-y", "Documentation Extractor"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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