Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
作者による説明(英語の原文)
Web scraping, crawling, deep research & autonomous extraction — 31 MCP tools, clean Markdown/JSON
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
CRAWLFORGE_API_KEY, DATAFORSEO_LOGIN, DATAFORSEO_PASSWORD「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"crawlforge": {
"command": "npx",
"args": [
"-y",
"crawlforge-mcp-server"
],
"env": {
"CRAWLFORGE_API_KEY": "your-value",
"DATAFORSEO_LOGIN": "your-value",
"DATAFORSEO_PASSWORD": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add crawlforge --env CRAWLFORGE_API_KEY=your-value --env DATAFORSEO_LOGIN=your-value --env DATAFORSEO_PASSWORD=your-value -- npx -y crawlforge-mcp-server動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"crawlforge": {
"command": "npx",
"args": [
"-y",
"crawlforge-mcp-server"
],
"env": {
"CRAWLFORGE_API_KEY": "your-value",
"DATAFORSEO_LOGIN": "your-value",
"DATAFORSEO_PASSWORD": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント mysleekdesigns で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:CRAWLFORGE_API_KEY, DATAFORSEO_LOGIN, DATAFORSEO_PASSWORD
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(6.25.0)がレジストリに届いたのは9 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Browser Use, Chrome DevTools MCP, MCP Server Browser
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
冒頭だけを表示しています。続きはリポジトリで読めます