Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Pages, crawls and URL batches as clean Markdown and JSON for AI agents, with an Evidence Record.
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.
W2L_API_URL, W2L_API_TOKEN, W2L_MCP_TOOLSETS, W2L_MCP_READ_ONLY비밀로 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.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.octocrawl.dev/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"octocrawl": {
"command": "npx",
"args": [
"-y",
"@octocrawl/mcp"
],
"env": {
"W2L_API_URL": "your-value",
"W2L_API_TOKEN": "your-value",
"W2L_MCP_TOOLSETS": "your-value",
"W2L_MCP_READ_ONLY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http octocrawl https://mcp.octocrawl.dev/mcpclaude mcp add octocrawl --env W2L_API_URL=your-value --env W2L_API_TOKEN=your-value --env W2L_MCP_TOOLSETS=your-value --env W2L_MCP_READ_ONLY=your-value -- npx -y @octocrawl/mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"octocrawl": {
"url": "https://mcp.octocrawl.dev/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"octocrawl": {
"command": "npx",
"args": [
"-y",
"@octocrawl/mcp"
],
"env": {
"W2L_API_URL": "your-value",
"W2L_API_TOKEN": "your-value",
"W2L_MCP_TOOLSETS": "your-value",
"W2L_MCP_READ_ONLY": "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": {
"octocrawl": {
"type": "http",
"url": "https://mcp.octocrawl.dev/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"octocrawl": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@octocrawl/mcp"
],
"env": {
"W2L_API_URL": "your-value",
"W2L_API_TOKEN": "your-value",
"W2L_MCP_TOOLSETS": "your-value",
"W2L_MCP_READ_ONLY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.octocrawl.dev/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
W2L_API_URL envW2L_MCP_TOOLSETS envW2L_MCP_READ_ONLY env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
scrapeRead one URL as Markdown with its Evidence Record (final URL, fetch time, HTTP status, robots.txt decision, hashes), over HTTP first and in the browser when the page needs it. Not for: many URLs or a whole site section. Compact by default; debug adds the full audit. warnings name
mapList a site's URLs without reading each page: the start page's links (read over HTTP alone) and the entries of the sitemaps the site declares, within one deadline. URLs stay in scope (the start host and its www twin, the start path's subtree, assets left out, similar URLs folded)
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 77777R7 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
367ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 2개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: W2L_API_TOKEN
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.8.6)은 오늘 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Starreel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Octocrawl
One link. Web data, ready.
Markdown and data from web pages, for AI agents and RAG.
Fewer tokens than raw HTML. Every result records how it was read.
Website · Docs · Connect MCP · Blog · Changelog
Scrape pages. Crawl websites. Turn web content into usable data.
Octocrawl is an open-source web scraping and crawling toolkit for AI agents, RAG and research. Collect documentation for a knowledge base, extract product details for comparison, or turn web tables and listings into data for analysis. Each page comes with a source record.
Try a page in your browser, or connect your agent through hosted MCP or the REST API. No installation or API key is needed to try the hosted service.
| Capability | What you get |
|---|---|
| Scrape a page | Readable Markdown for LLM context, plus HTML, links, image URLs and page metadata. Request a screenshot on the browser lane. |
| Map a website | Discover URLs from sitemaps and page links, and filter them by a search term to find the pages you need. |
| Crawl a site or section | Follow links from a starting URL and collect each page's content, with path filters, depth and page limits. |
| Scrape a list of URLs | Submit a batch, retrieve results as they arrive, and keep the outcome of every URL, including failures. |
| Extract structured data | Get tables and repeated listings as JSON and CSV, or pass a JSON Schema for supported fields such as product names, prices and page labels. Extraction guide. |
| Read dynamic pages · local actions | Render JavaScript, click controls, scroll, load more items and follow pagination before extracting content. Browser actions. |
| Read PDF reports | Extract a PDF's text layer with page markers for citations. CSV, JSON and plain-text URLs also return their text. File support. |
| Revisit sources on a schedule · local workers | Run Monitors and send their events to an HTTPS endpoint with retried delivery. Monitor setup. |
Hosted Octocrawl offers scrape and map, and with an account crawl and batch jobs (up to 500 pages a crawl, 1,000 URLs a batch); keyless requests use HTTP, and an account key enables the browser lane. Run locally for larger jobs, page actions and Monitors; see Running Octocrawl for setup and self-hosting options. The web preview is a single-page trial, with five pages a day and up to 20 named fields.
null.npx, or self-host with Docker Compose. The server is AGPL-3.0; the client libraries are MIT.If Octocrawl helps your work, give the repository a star.
Connect your agent to hosted Octocrawl. No key is needed to start (steps for Claude Code, Cursor, OpenCode and Codex):
claude mcp add --transport http octocrawl https://mcp.octocrawl.dev/mcp
Without a key it reads 20 pages a day over HTTP. For more, sign in and make a key: an account gets 1,000 credits a month and the browser lane. The key goes in a header, never in the URL:
claude mcp add --transport http octocrawl https://mcp.octocrawl.dev/mcp --header "Authorization: Bearer oc_…"
Or run it on your own computer. You need Node.js 22.13+ or 24+:
npx octocrawl scrape https://example.com --markdown
pip install 'octocrawl-client[pandas]' # the Python client of a running API (npx octocrawl serve); [pandas] for to_pandas() npm install @octocrawl/sdk # the TypeScript client; @octocrawl/mcp is the MCP server npm install @octocrawl/ai-sdk # scrape and map as Vercel AI SDK tools, on hosted Octocrawl by default
Pages are read over HTTP first. For pages that only appear in a browser, install Chromium once with npx playwright install chromium; until then such a page comes back with a browser_not_installed warning that names the command.
To give your agent every tool, with no daily limit, run the API locally and connect the MCP server to it:
npx octocrawl serve # keep it running: the API on 127.0.0.1:8787
claude mcp add octocrawl -- npx -y @octocrawl/mcp # the published stdio server, a client of that API
The hosted service offers scrape and map, and with an account crawl and batch jobs. The local server adds larger jobs, the Amazon.sg product tool and the Monitor tools. To serve other machines yourself, npx octocrawl serve --hosted --token refuses private addresses, robots overrides and saved logins as the hosted service does. Running Octocrawl covers all three; Docker Compose runs one on your own server. An agent installing Octocrawl for you (Cline, for one) can follow llms-install.md.
The test page below answers HTTP 200 but shows a Cloudflare check instead of content (fixture block-challenge-200). A crawler that trusts the status code counts it as a success. Octocrawl tries plain HTTP, then a browser, and reports the page as blocked, with what to do next:
npx octocrawl scrape http://127.0.0.1:8799/block/challenge-200
{
"status": "blocked", "blockReason": "cloudflare_challenge", "channelsTried": ["http", "browser_local"], "markdown": null, "snapshot": { "httpStatus": 200, "artifacts": [] }, "usage": { "wallMs": 1079, "bytesWire": null, "externalCostUsd": 0 }, "agentHints": [ "127.0.0.1 gates automated access on the lanes tried (http, browser_local); … a proxy or session you own is the supported route, or, on your own machine, getting through the check yourself in your own Chrome: handoff: true on a scrape (octocrawl scrape --handoff) …" ], "evidenceRecord": { "schemaVersion": "w2l.evidence/1", "status": "blocked", "reason": "cloudflare_challenge", "lane": "browser_local", "…": "…" } }
This is real output of octocrawl 0.4.1, trimmed (…) and rounded, against the repository's fixture server (FIXTURE_PORT=8799 node --import tsx packages/fixtures/src/cli.ts). bytesWire: null means wire bytes were not measured; artifacts: [] means no screenshot or DOM snapshot was made.
The site's docs at octocrawl.dev/docs cover MCP setup for four clients, task guides and limits. They are built from apps/public-web/content.
The full reference lives in docs/:
| Topic | Page |
|---|---|
The octocrawl command | Command line |
| Hosted, local and self-hosted servers, ports, tokens, proxies, robots.txt | Running Octocrawl |
| Options for a scrape and what a result carries | Scrape options and results |
| Many URLs, whole sites, site maps, webhooks | Batches, crawls and maps |
| Structured data from a JSON Schema | JSON extraction |
| PDF, CSV, XLSX, ZIP and JSON URLs | Files |
| Your login, enhanced access, handoff, your own Chrome | Access |
| Scheduled re-reads and HTTPS events | Monitors |
| Moving from Firecrawl | Firecrawl shim |
Walkthroughs of real runs are on the blog: Claude Code web scraping with MCP, Web scraping for RAG, Find all pages on a website, Scrape a website with login, in your own Chrome, Extract structured data without an LLM, Scrape a list of URLs and keep every failure.
For researchers, two guides walk through a real run: From a URL list to a CSV with evidence and Citing web data in a paper.
For the Monitor → result → HTTPS event → restart workflow, follow the onboarding guide.
You need Node.js 22.13+ or 24+ and npm. The PDF engine, pdf.js, needs 22.13 or later.
git clone https://github.com/77777R7/Octocrawl.git
cd Octocrawl npm ci npx playwright install chromium npm run typecheck npm test npm run scrape -- https://example.com --markdown npm run crawl -- https://example.com --max-pages 20
The packag
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요