WhatWeb MCP

io.github.devkindhq由 GitHub 帳號 devkindhq 發布v1.0.0更新於 Nov 1, 2026

Website technology fingerprinting for AI agents, powered by WhatWeb. Multi-arch Docker.

概覽

AI 產生的概覽

在本機 Docker 容器中執行 WhatWeb,讓助理辨識網站使用的 CMS、伺服器、框架與分析工具。

可以做什麼
  • 以五種探測強度之一掃描目標網址,回傳偵測到的技術與版本的結構化報告
  • 依掃描 ID 取得先前某次掃描的結果
  • 列出目前正在執行的掃描
  • 在同一工作階段中於記憶體保留最多 100 筆結果,方便後續追問
適用情境
適合需要讓助理判斷某個網站用什麼技術建置的情境,例如潛在客戶篩選、競品調查,或經授權的安全偵察,不必離開對話。
執行需求
本機需安裝 Docker(映像支援 amd64 與 arm64),以及任一 MCP 用戶端,如 Claude Code、Cursor、VS Code 或 Windsurf。不需 API 金鑰。可選環境變數 WHATWEB_MAX_CONCURRENT(預設 2)與 WHATWEB_TIMEOUT(預設 300 秒)。也可從原始碼執行,需 Python 及 PATH 中的 WhatWeb。
安裝前請注意
掃描會向第三方網站送出請求;aggressive 等級被說明為可能具侵入性,僅應對已獲授權測試的目標使用。結果只存在記憶體中,程序結束後即遺失。README 亦推廣廠商的顧問服務。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 WhatWeb MCP,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

WhatWeb MCP Server: web technology fingerprinting for AI agents

WhatWeb MCP server lets Claude Code, Cursor, and any MCP client fingerprint websites and identify their CMS, web server, frameworks, and analytics tools. It runs WhatWeb in a hardened Docker container and returns a structured report in one tool call.

Sales and prospecting teams use it to qualify leads; security teams use it for recon.

The server publishes three tools: whatweb_scan (scan a target at five aggression levels), get_scan_results (fetch a previous scan by ID), and list_active_scans (see what is running). Scans run in a sandboxed container with a non-root user, memory and CPU limits, and flag-injection validation on every target.

Quickstart (Docker)

The image is multi-arch (linux/amd64 and linux/arm64), so the same tag works on Apple Silicon, x86 servers, and ARM cloud instances.

bash
docker pull devkind/whatweb-mcp:latest

Ready-paste config for Claude Code or Cursor, saved as .mcp.json in your project root (or ~/.cursor/mcp.json):

json
{  "mcpServers": {    "whatweb": {      "command": "docker",      "args": ["run", "-i", "--rm", "--memory=512m", "--cpus=0.5", "--pids-limit=100", "devkind/whatweb-mcp:latest"]    }  }}

Then ask your agent: "What technologies does example.com run?"

Install in your client

Requirements:

  • Docker
  • Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, or any other MCP client
  • No API keys

Standard config works in most MCP clients:

json
{  "mcpServers": {    "whatweb": {      "command": "docker",      "args": [        "run",        "-i",        "--rm",        "--memory=512m",        "--cpus=0.5",        "--pids-limit=100",        "devkind/whatweb-mcp:latest"      ]    }  }}
Claude Desktop

Follow the MCP install guide and add the standard config above to your claude_desktop_config.json.

Claude Code

Run:

bash
claude mcp add whatweb -- docker run -i --rm --memory=512m --cpus=0.5 --pids-limit=100 devkind/whatweb-mcp:latest

Or add the standard config above to .mcp.json in your project root.

Cursor
Click the button to install:

[Install in Cursor]

Or install manually:

Go to Cursor Settings -> MCP -> Add new MCP Server. Name it "WhatWeb MCP", use command type with the command docker run -i --rm --memory=512m --cpus=0.5 --pids-limit=100 devkind/whatweb-mcp:latest.

VS Code

Follow the MCP install guide and use the standard config above. You can also install with the VS Code CLI:

bash
code --add-mcp '{"name":"whatweb","command":"docker","args":["run","-i","--rm","--memory=512m","--cpus=0.5","--pids-limit=100","devkind/whatweb-mcp:latest"]}'
Windsurf

Follow the Windsurf MCP documentation and use the standard config above.

Goose

Go to Advanced settings -> Extensions -> Add custom extension. Name it "WhatWeb MCP", use type STDIO, and set the command to docker run -i --rm --memory=512m --cpus=0.5 --pids-limit=100 devkind/whatweb-mcp:latest. Click "Add Extension".

LM Studio

Go to Program in the right sidebar -> Install -> Edit mcp.json. Use the standard config above.

Warp

Go to Settings -> AI -> Manage MCP Servers -> + Add to add an MCP Server. Use the standard config above, or use the slash command /add-mcp in the Warp prompt and paste it.

Example tool call and output

json
{ "tool": "whatweb_scan", "arguments": { "target": "https://example.com", "aggression": "normal" } }
json
{  "scan_id": "a1b2c3d4",  "target": "https://example.com",  "status": "completed",  "http_status": 200,  "stats": { "total_technologies": 3 },  "technologies": [    { "name": "nginx", "version": "1.25.3", "string": null },    { "name": "WordPress", "version": "6.4.3", "string": "wp-content" },    { "name": "jQuery", "version": "3.7.1", "string": "jquery.js" }  ],  "error": null}

Aggression levels map to WhatWeb's -a flag: stealthy/passive (1, one request), polite (2), normal (3), aggressive (4, potentially intrusive, so use only on targets you are authorized to test).

How it works

The container installs WhatWeb from the official upstream repository on an Alpine Ruby base, then runs a Python MCP server (mcp SDK, stdio transport). Each scan shells out with an argument array (no shell interpolation), writes WhatWeb's JSON log to an ephemeral /app/output, and parses it into typed results. Up to 100 scan results are kept in memory for follow-up questions in the same session. Tests cover target validation, JSON parsing, result-store bounds, and a live MCP stdio JSON-RPC handshake. Run them with pytest. Also installable from source without Docker: pip install -r requirements.txt && python3 server.py (requires WhatWeb on your PATH).

Roadmap

  • Official MCP Registry listing (io.github.devkindhq/whatweb-mcp)
  • Docker MCP Registry and Smithery listings
  • Batch scanning (multiple targets in one call)
  • Optional CSV/JSON export tool
  • Scheduled re-scans with diffing (alert when a target's stack changes)

Built by

Built by Devkind. Maintained by Kazim Ali.

License

MIT. See CONTRIBUTING.md and SECURITY.md. WhatWeb itself is licensed by its upstream authors. Scan only targets you are authorized to scan.

Qualifying leads by their tech stack?

Once you know what a site runs, Devkind can help you build on it. We work with Shopify, Swell and headless commerce stacks, and build custom MCP servers and AI agent workflows. Talk to Devkind or email [email protected].

來源:README.md,提交 f7d85d2

工具

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版本歷史

1
  1. v1.0.0最新Nov 1, 2026

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