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77777R7/Octocrawl

Octocrawl: readable Markdown and checked fields from public web pages, for AI agents, RAG and research. Failures come back with a reason. Self-host with REST, SDK or MCP.

装之前:没有可直接复制的命令 · 许可证 AGPL-3.0 · 站点拦截自动检测

第一步:npx octocrawl scrape https://example.com --markdown

无 SECURITY.md
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · 自动访问被拒(HTTP 429),状态未能确认
安装与配置
远端端点(Claude Desktop / Cursor / Windsurf 共用 mcpServers)
{
  "mcpServers": {
    "77777r7-octocrawl": {
      "url": "https://mcp.octocrawl.dev/mcp"
    }
  }
}
把这段粘进 Claude Desktop / Cursor 的 mcpServers 配置即可。端点来自公开证据,我们没有替你安装或托管它。 官方 Registry 记录:这个端点没有列出任何请求头。这不等于免密 —— 以项目文档为准。
VS Code(.vscode/mcp.json —— 键名是 servers,远程要 type: http)
{
  "servers": {
    "77777r7-octocrawl": {
      "type": "http",
      "url": "https://mcp.octocrawl.dev/mcp"
    }
  }
}
VS Code 的配置文件和另外三家不同:顶层键是 <code>servers</code>,远程端点还要写 <code>"type": "http"</code>。复制到 .vscode/mcp.json。
Claude Code(命令行)
claude mcp add --transport http 77777r7-octocrawl https://mcp.octocrawl.dev/mcp
Claude Code 不收 JSON 文件,用这条命令直接加。
取自该仓库的安装命令
claude mcp add octocrawl -- npx -y @octocrawl/mcp # the published stdio server, a client of that API

解析自我们于 2026-10-26 抓取的该仓库 README;我们未执行过。

这条是仓库自己写的安装方式,不是 MCP 客户端配置,所以不生成 JSON。
配置项的键名以你的客户端为准:客户端与 CLI
★ 数取值
6 ★ · 77777R7/Octocrawl · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-23 · 最近见到 2026-11-14 · 共见到 26 次 · 被 23 个来源列出
评分构成
综合分 2,300 · 6 ★ · 23 个来源 · mcp
安装
claude mcp add octocrawl -- npx -y @octocrawl/mcp # the published stdio server, a client of that API
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是 claude mcp add octocrawl -- npx -y @octocrawl/mcp # the published stdio server, a client of that API。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 77777R7/Octocrawl;我们收录于 2026-10-23;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

Octocrawl

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

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.
## What can you do with Octocrawl?
| 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.
## Why Octocrawl?
Web data inside your agent. Connect Claude Code, Cursor, OpenCode or Codex through MCP, or build with REST, TypeScript, Python and the Vercel AI SDK.
Structured fields without a model by default. Read supported values from the page itself, with field evidence and explicit missing values. Model fallback is opt-in.
Know when a scrape fell short. Checks flag challenge pages, wrong content, missing facts, truncation and too little content. Blocked and failed results carry a reason; fetched error pages keep their status and Markdown. Result states.
Trace results back to their sources. Each page carries an Evidence Record with its URL, fetch time, status and extraction evidence. Unobserved values stay null.
Run it where you need it. Use the hosted service, run with npx, or self-host with Docker Compose. The server is AGPL-3.0; the client libraries are MIT.
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
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来源
awesome · https://github.com/77777R7/Octocrawl
按领域浏览
MCP 服务
Traction
6 ★
收录来源
23 个独立来源
收录于
今天
安全策略
我们没在该仓库根目录找到 SECURITY.md(这不代表不安全)

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