Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Extract llms.txt from any docs site - Mintlify Docusaurus GitBook parser
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
The maker has not listed install details in the registry. See the maker’s README below.
Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The registry name was verified with the GitHub account nirholas, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
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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).
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 10 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
In the same category: Spec Driven Development, Remote Desktop Commander, FOGA node
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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.
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Extract llms.txt documentation and install.md instructions from any website for AI agents, LLMs, and automation workflows.
llm.energy
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.
| Standard | Description | Learn More |
|---|---|---|
| llms.txt | Machine-readable documentation for AI systems | llmstxt.org |
| install.md | LLM-executable installation instructions | installmd.org |
| Feature | Description |
|---|---|
| 🔍 Smart Detection | Automatically finds llms.txt, llms-full.txt, and install.md |
| 📄 Organized Output | Splits content into individual markdown files by section |
| 🤖 Agent-Ready | Includes AGENT-GUIDE.md optimized for AI assistants |
| 📦 Multiple Formats | Export as Markdown, JSON, YAML, or ZIP archive |
| 🔌 MCP Server | Integrate with Claude Desktop, Cursor, and more |
| ⚡ Batch Processing | Process multiple URLs simultaneously |
| 📚 Site Directory | Browse 19+ curated llms.txt-enabled websites |
| ✏️ llms.txt Generator | Create your own llms.txt files with a guided wizard |
| 🚀 install.md Generator | AI-powered: generate from GitHub repos, docs URLs, or manually |
─────────────────────────────────────────────────────────────────
📝 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
─────────────────────────────────────────────────────────────────
Generate LLM-executable installation instructions from any source:
| Mode | Description | Use Case |
|---|---|---|
| From GitHub | Analyze any public GitHub repo and generate install.md | Perfect for creating install.md for existing projects |
| From URL | Extract from any documentation page | Convert existing docs to install.md format |
| Manual | Build from scratch with guided wizard | Full control over every detail |
# 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.
Full documentation is available at [llm.energy/docs](https://docs.llm.energy/)
Visit llm.energy to use the hosted version.
# Clone the repository
git clone https://github.com/nirholas/extract-llms-docs.git cd extract-llms-docs
pnpm install
pnpm dev
🌐 The application runs on http://localhost:3001
📦 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.
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"}'
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"}'
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/)
The MCP server exposes the following tools for AI agents:
| Tool | Description |
|---|---|
extract_docs | Extract documentation from a URL with llms.txt support |
validate_url | Check if a URL has llms.txt available |
verify_llms_txt | Verify llms.txt exists and get file info |
discover_documentation_urls | Find documentation URLs for a domain |
list_sites | Get directory of known llms.txt-enabled sites |
search_sites | Search the site directory by category or keyword |
┌──────────────────────────────────────────────────────────────────┐
│ 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
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
| Variable | Used by | Default | Purpose |
|---|
| 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
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