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PopNx MCPMCP servers for people who use AI · explained in plain words

Documentation Extractor

by nirholasversion 1.0.0i★ 35i–
Registry nameio.github.nirholas/extract-llms-docs

How to install

What it does

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

  • Connects –
  • Account or key No key needed
  • Category Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Passed 2/3 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Claude cannot connect Documentation Extractor yet

The maker has not listed install details in the MCP Registry yet

ChatGPT cannot connect Documentation Extractor yet

The maker has not listed install details in the MCP Registry yet

What you can do instead

B · Others in Search & AI memory that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Claude Code cannot connect Documentation Extractor yet

The maker has not listed install details in the MCP Registry yet

Cursor cannot connect Documentation Extractor yet

The maker has not listed install details in the MCP Registry yet

VS Code cannot connect Documentation Extractor yet

The maker has not listed install details in the MCP Registry yet

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Documentation Extractor💬 Discussion →

At a glance

Downloads per weeki
Not on npm/PyPI
Licencei
No licence stated
Connection
–
Latest versioni
1.0.0
Published to registryi
Jan 20, 2026
Code last changedi
Nov 11, 2026
Maker
nirholas
Registry status
Active

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 13, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account nirholas, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 2 days ago

  • ! Caution

    Has a licence

    GitHub could not identify the licence type; open the file to check

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

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User reviews

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Compared with others in Search & AI memoryi

  • More stars than 96% of the other 6034 servers in this category
  • Published to the registry more recently than 1% of the other 6034 servers in this category
  • Basic checks equal to or better than 49% of the other 6034 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Documentation Extractor safe?

It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 2 days ago, and the latest version (1.0.0) reached the registry 10 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.

What can I use instead?

In the same category: Context7, Codebase Memory, Ruflo

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.7KUpdated yesterday

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 16.8K/wk★ 48.6KUpdated 27 days ago

Runs on your computer

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

by ruvnetWidely used↓ 74.3K/wk★ 81.6K Stars for the whole repoUpdated today

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

llm.energy

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

llm.energy

📖 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
🔍 Smart DetectionAutomatically finds llms.txt, llms-full.txt, and install.md
📄 Organized OutputSplits content into individual markdown files by section
🤖 Agent-ReadyIncludes AGENT-GUIDE.md optimized for AI assistants
📦 Multiple FormatsExport as Markdown, JSON, YAML, or ZIP archive
🔌 MCP ServerIntegrate with Claude Desktop, Cursor, and more
⚡ Batch ProcessingProcess multiple URLs simultaneously
📚 Site DirectoryBrowse 19+ curated llms.txt-enabled websites
✏️ llms.txt GeneratorCreate your own llms.txt files with a guided wizard
🚀 install.md GeneratorAI-powered: generate from GitHub repos, docs URLs, or manually

🎯 Use Cases

─────────────────────────────────────────────────────────────────

📝 Feed docs to AI coding assistants (Cursor, Windsurf) 🤖 Build context-aware AI agents with up-to-date docs 🔄 Create documentation pipelines for RAG systems 📦 Aggregate docs from multiple sources automatically ✏️ Generate llms.txt/install.md for your own projects 🚀 Auto-generate install.md from any GitHub repo

─────────────────────────────────────────────────────────────────


🚀 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
# Generate install.md for any GitHub project

curl -X POST https://llm.energy/api/generate-install \ -H "Content-Type: application/json" \ -d '{"url": "https://github.com/anthropics/anthropic-sdk-python", "type": "github"}'

Visit [llm.energy/install-generator](https://llm.energy/install-generator) to use the web interface.


📚 Documentation

Full documentation is available at [llm.energy/docs](https://docs.llm.energy/)


🚀 Installation

Web Application

Visit llm.energy to use the hosted version.

Local Development
# 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

📦 Click to expand MCP Server setup

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

{

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

See MCP Server Documentation for detailed setup.


🔌 API Reference

POST /api/extract - Extract documentation from a URL

curl -X POST https://llm.energy/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

curl -X POST https://llm.energy/api/validate \

-H "Content-Type: application/json" \ -d '{"url": "docs.example.com"}'

POST /api/batch - Process multiple URLs

curl -X POST https://llm.energy/api/batch \

-H "Content-Type: application/json" \ -d '{"urls": ["docs.anthropic.com", "docs.stripe.com"]}'

GET /api/download - Download in various formats

# Formats: markdown, json, yaml, zip

curl "https://llm.energy/api/download?url=docs.anthropic.com&format=zip"

POST /api/generate-install - AI-generate install.md from GitHub or docs URL

# Generate from a GitHub repository

curl -X POST https://llm.energy/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/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/api/generate-install?url=https://github.com/anthropics/anthropic-sdk-python&type=github"

📖 [Full API Reference →](https://docs.llm.energy/api-reference/)


🤖 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

🏗️ Architecture

┌──────────────────────────────────────────────────────────────────┐

│ llm.energy │ ├──────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ Web App │ │ REST API │ │ MCP Server │ │ │ │ (Next.js) │ │ /api/* │ │ (stdio) │ │ │ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ │ │ │ │ │ │ │ └────────────────┼────────────────┘ │ │ │ │ │ ┌──────▼──────┐ │ │ │ Core │ │ │ │ - Parser │ │ │ │ - Extractor│ │ │ │ - Cache │ │ │ └──────┬──────┘ │ │ │ │ │ ┌────────────────┼────────────────┐ │ │ ▼ ▼ ▼ │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ llms.txt │ │ install.md │ │ Sitemap │ │ │ └─────────────┘ └─────────────┘ └─────────────┘ │ │ │ └──────────────────────────────────────────────────────────────────┘

📁 Project Structure

extract-llms-docs/

├── src/ │ ├── app/ # Next.js pages and API routes │ │ ├── api/ # REST API endpoints │ │ │ ├── extract/ # Documentation extraction API │ │ │ ├── generate-install/ # AI-powered install.md generation │ │ │ └── ... # Other API endpoints │ │ ├── extract/ # Extraction interface │ │ ├── batch/ # Batch processing page │ │ ├── directory/ # Site directory browser │ │ ├── generator/ # llms.txt generator wizard │ │ └── install-generator/ # install.md generator with tabs │ ├── components/ # React UI components │ │ └── install-generator/ # GitHubTab, UrlTab, Preview │ ├── lib/ # Core utilities │ │ ├── github-analyzer.ts # GitHub repo analysis │ │ ├── docs-analyzer.ts # Documentation URL scraping │ │ └── ... # Parser, extractor, cache │ ├── hooks/ # React hooks │ └── types/ # TypeScript definitions ├── packages/core/ # Shared parser and types ├── mcp-server/ # MCP server package └── docs-site/ # MkDocs documentation source


🛠️ Technology Stack


⚙️ Configuration

All environment variables are optional — the app runs without them. Copy .env.example to .env.local and fill in only what you need:

cp .env.example .env.local
VariableUsed byDefaultPurpose

| ADMIN_KEY | /api/cache | _unset_ | Value the x-admin-key header must match for cache management. Both GET and POST return 500 when it is

Only the beginning is shown; read the rest in the repo