Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Pages, crawls and URL batches as clean Markdown and JSON for AI agents, with an Evidence Record.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
W2L_API_URL, W2L_API_TOKEN, W2L_MCP_TOOLSETS, W2L_MCP_READ_ONLY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.octocrawl.dev/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"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"
}
}
}
}在终端中运行这条命令
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/mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"octocrawl": {
"url": "https://mcp.octocrawl.dev/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"octocrawl": {
"type": "http",
"url": "https://mcp.octocrawl.dev/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://mcp.octocrawl.dev/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
W2L_API_URL envW2L_MCP_TOOLSETS envW2L_MCP_READ_ONLY env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
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)
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7日
注册名称已通过 GitHub 账户 77777R7 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 367 毫秒内响应(HTTP 200)
无需登录
已读取 2 个工具描述,未发现针对 AI 的隐藏指令
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 3 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。
你需要填写:W2L_API_TOKEN
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(0.8.7)于今天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Foliosio
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ 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
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.
Read your support inbox, tag conversations and save draft replies from your AI agent. Never sends.
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。
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
只显示了开头部分;其余内容请在仓库中阅读