Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
제작자가 쓴 설명(영어 원문)
Web scraping, crawling, deep research & autonomous extraction — 31 MCP tools, clean Markdown/JSON
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
CRAWLFORGE_API_KEY, DATAFORSEO_LOGIN, DATAFORSEO_PASSWORD비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"crawlforge": {
"command": "npx",
"args": [
"-y",
"crawlforge-mcp-server"
],
"env": {
"CRAWLFORGE_API_KEY": "your-value",
"DATAFORSEO_LOGIN": "your-value",
"DATAFORSEO_PASSWORD": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add crawlforge --env CRAWLFORGE_API_KEY=your-value --env DATAFORSEO_LOGIN=your-value --env DATAFORSEO_PASSWORD=your-value -- npx -y crawlforge-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"crawlforge": {
"command": "npx",
"args": [
"-y",
"crawlforge-mcp-server"
],
"env": {
"CRAWLFORGE_API_KEY": "your-value",
"DATAFORSEO_LOGIN": "your-value",
"DATAFORSEO_PASSWORD": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"crawlforge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"crawlforge-mcp-server"
],
"env": {
"CRAWLFORGE_API_KEY": "your-value",
"DATAFORSEO_LOGIN": "your-value",
"DATAFORSEO_PASSWORD": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 mysleekdesigns 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: CRAWLFORGE_API_KEY, DATAFORSEO_LOGIN, DATAFORSEO_PASSWORD
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(6.25.0)은 8일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Browser Use, Chrome DevTools MCP, MCP Server Browser
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
31 web scraping, crawling, deep-research & autonomous-extraction tools for Claude, Cursor & any MCP client.
Clean Markdown & structured JSON from any site. Get started with 1,000 free credits — no credit card required.
⭐ Star us on GitHub to follow along — it genuinely helps others discover the project.
agent, a unified multi-format scrape, document processing, stealth browsing, stateful browser sessions, and more, callable directly from your AI assistant.extract_with_llm runs against a local Ollama model out of the box: no LLM API key, no per-token cost, and your data never leaves your machine. Cloud (OpenAI/Anthropic) is opt-in.| CrawlForge MCP | Firecrawl | Raw scraping API | |
|---|---|---|---|
| Native MCP server | ✅ 31 tools | ✅ | ❌ |
| Free tier | ✅ 1,000 credits, one-time, never expire | Limited | Varies |
| Self-hosted / local LLM extraction (Ollama) | ✅ default, $0/token | ❌ | ❌ |
| Autonomous agent (no URLs needed) | ✅ agent | ✅ | ❌ |
| Deep research with source verification | ✅ deep_research | Partial | ❌ |
| Browser automation / actions | ✅ scrape_with_actions | ✅ | Varies |
| Stealth / anti-detection engines | ✅ Chromium + Camoufox | ✅ | Add-on |
| Pre-built site templates | ✅ 10 sites | ❌ | ❌ |
| License | MIT | AGPL-3.0 | Proprietary |
Comparison reflects publicly documented capabilities at time of writing. CrawlForge is MIT-licensed and MCP-first — built to plug straight into AI coding assistants.
npm install -g crawlforge-mcp-server
Every tool requires a CrawlForge API key — new accounts get 1,000 free trial credits to start. The recommended path signs you in through the browser, so the key is never pasted into a terminal (a coding agent can run this for you and relay the URL):
crawlforge login
It prints an approval URL; open it, approve, and the key is stored in ~/.crawlforge/config.json. Then run crawlforge init to register the MCP server with your client. Or use the interactive wizard, which also configures your clients:
npx crawlforge-setup
This will:
Don't have an API key? Get one free at https://www.crawlforge.dev/signup
One-step setup (v4.6.0+):
crawlforge initdetects your API key, installs the agent skill, and idempotently merges the MCP config stanza into Claude Code, Claude Desktop, and Cursor. Usecrawlforge init --all --yesto configure every detected client non-interactively.
🤖 For Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": { "crawlforge": { "command": "npx", "args": ["-y", "crawlforge-mcp-server"] } } }
Location:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%/Claude/claude_desktop_config.json~/.config/Claude/claude_desktop_config.jsonRestart Claude Desktop to activate.
🖥️ For Claude Code CLI (Auto-configured)
The setup wizard automatically configures Claude Code by adding to ~/.claude.json:
{
"mcpServers": { "crawlforge": { "type": "stdio", "command": "crawlforge-mcp" } } }
After setup, restart Claude Code to activate.
💻 For Cursor IDE (Auto-configured)
The setup wizard automatically configures Cursor by adding to ~/.cursor/mcp.json:
{
"mcpServers": { "crawlforge": { "type": "stdio", "command": "crawlforge-mcp" } } }
Restart Cursor to activate.
🔁 For n8n (workflow automation)
n8n's built-in MCP Client Tool node connects over Streamable HTTP (works on n8n Cloud and self-hosted). Run the server in HTTP mode:
export CRAWLFORGE_API_KEY=your_api_key
npm run start:http # Streamable HTTP endpoint at http://localhost:10000/mcp
Then point the MCP Client Tool node at http:// :10000/mcp with transport HTTP Streamable and a Bearer credential set to the same API key. On self-hosted n8n you can instead use the community n8n-nodes-mcp node over STDIO (npx -y crawlforge-mcp-server).
Full guide: docs/n8n-integration.md
Which launch command?
npx -y crawlforge-mcp-serverneeds no global install and always runs the published version (recommended for Claude Desktop). For a global install (npm i -g crawlforge-mcp-server), use the dedicatedcrawlforge-mcpbin — it resolves on yourPATH, so it survives Node/nvm version switches. The barecrawlforgecommand still launches the server when an MCP client spawns it over stdio (backward compatibility for configs created before v4.2.5); interactively it's the CLI — runcrawlforge mcpto start the server by hand.
CrawlForge requires a CrawlForge API key — every tool is metered and consumes credits. New accounts get 1,000 free trial credits to start. Get a key at crawlforge.dev/signup.
All Tools (API key required)
| Tool | Credits | What it does | |
|---|---|---|---|
fetch_url | 1 | Fetch content from any URL | |
extract_text | 1 (6 projected with escalate: true, charged 1 when the plain fetch works) | Extract clean text from web pages | |
extract_links | 1 (6 projected with escalate: true, charged 1 when the plain fetch works) | Get all links from a page | |
extract_metadata | 1 | Extract page metadata (title, OG tags, schema.org) | |
scrape_template | 1 | Structured data from well-known sites (Amazon, GitHub, LinkedIn, YouTube, Reddit, Hacker News, npm, and more) without writing selectors | |
list_ollama_models | 1 | List the Ollama models installed locally (helps you pick a model for extract_with_llm) | |
get_batch_results | 1 | Retrieve paginated results for a batch_scrape job by batchId | |
read_result | 1 | Search, slice, read lines or a JSON path from a result a tool returned with truncated: true and a result_handle (kept 1 hour on your own machine) — never fetch the page again | |
scrape | 2 | Unified single-fetch, multi-format extraction. Pass a formats array (markdown/html/rawHtml/text/links/metadata/screenshot/json-schema, plus {type:"highlights",query} and {type:"question",question} for only the matching sentences, table rows and code blocks, verbatim with offsets into the markdown: +1 credit once per call, mode:"model" +3) plus onlyMainContent; one fetch serves every requested format with per-format partial-success warnings. escalate:true retries a blocked plain fetch once in the stealth browser and returns the page instead of the block (+5 as the projected ceiling; the charge drops back to 2 when the plain fetch succeeded and no escalation ran) | |
scrape_structured | 2 | Extract structured data with CSS selectors | |
extract_embedded_state | 2 (7 projected with escalate: true, charged 2 when the plain fetch works) | Read a page's embedded JavaScript state — __NEXT_DATA__, React Server Component payloads (references between rows resolved, plus a data_rows index), Nuxt (Nuxt 3's __NUXT_DATA__ decoded), SvelteKit, Apollo, Redux, ytInitialData, Inertia, Shopify, JSON data-* attributes, — with a path to scope the result, keys_only: true to see its first two levels of keys, or find: " " to get every path where a field of that name lives. escalate: true re-reads a walled page in the stealth browser, runs the same parser and also reads the framework globals off window (window_state). No LLM in the extraction path | |
extract_content | 2 | Enhanced content extraction | |
map_site | 2 | Discover and map website structure (optional search= ranks the discovered URLs) | |
process_document | 2 | Multi-format document processing | |
localization | 2 | Look up a country's locale settings (Accept-Language, timezone, currency) to pass to other tools; returns values, applies none | |
track_changes | 3 | Monitor content changes over time | |
analyze_content | 3 | Comprehensive content analysis | |
extract_structured | 3 | LLM-powered schema-driven extraction (your own LLM key or local Ollama) | |
extract_with_llm | 3 | Natural-language extraction. Defaults to a local Ollama model; pass `provider: "openai" \ | "anthropic"` with the matching key for cloud models (external LLM billed by your provider) |
| browser_session | 3 | A browser page that stays open across calls, keeping its cookies and its login in between. open a session on a URL, snapshot it to list the interactive elements as stable refs (@e1, @e2), act on a ref, read the content, close. Priced per operation: open 3, read 2, snapshot/act/screenshot/close/list 1 each. Reach for it when you must see the page before choosing what to click, when the flow spans several calls, or when a login must hold across later reads; one fixed act
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요