OpenSEO
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Extract llms.txt from any docs site - Mintlify Docusaurus GitBook parser
选择你使用的 AI 应用,然后复制设置。
通过 2/3 项检查 · 在你的电脑上运行
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
ChatGPT 暂时无法连接 Documentation Extractor
开发者尚未在 MCP 注册表中填写安装方式
Claude Code 暂时无法连接 Documentation Extractor
开发者尚未在 MCP 注册表中填写安装方式
Cursor 暂时无法连接 Documentation Extractor
开发者尚未在 MCP 注册表中填写安装方式
VS Code 暂时无法连接 Documentation Extractor
开发者尚未在 MCP 注册表中填写安装方式
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月15日
注册名称已通过 GitHub 账户 nirholas 验证,该账户拥有此仓库
代码最后更新于前天
GitHub 无法识别许可证类型;请打开文件自行查看
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于前天,最新版本(1.0.0)于10个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。
同一分类中有:OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs
同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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