Visprobe

io.github.CloudCorpRecords由 GitHub 帳號 CloudCorpRecords 發布v0.1.0更新於 Nov 3, 2026

AI可見性審計:AI爬蟲存取、身份檔案、頁面訊號、託管分析。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

AI-visibility audit: AI crawler access, identity files, page signals, hosted analysis.

已驗證STDIO僅桌面網頁搜尋與抓取

概覽

Visprobe 的本機 MCP 服務;無需登入;STDIO。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Visprobe,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

visprobe

How does an answer engine see your site? visprobe reads a site the way one does — the crawler policy in robots.txt, the identity files an engine looks for, the signals in the page itself — and, through the hosted analyzer, whether Claude, ChatGPT, Gemini and Perplexity actually name the site.

Three tools run entirely on your machine; seven forward to the hosted analyzer at https://inite.ai/api/mcp/analyzer.

Local tools (no account)

  • check_ai_access(url) — which AI crawlers robots.txt lets in, split into the answer-engine crawlers (they fetch a page to answer a live question) and the training crawlers. Blocking the first kind is what makes a site invisible; blocking the second costs nothing. The robots rules are applied properly: the most specific user-agent group wins, the longest matching rule wins, Allow breaks a tie.
  • check_identity_files(url) — which of the ten identity files exist at the site root: /llms.txt, /llms-full.txt, /ai.txt, /ai.json, /identity.json, /agent.json, /.well-known/ai.json, /.well-known/llms.txt, /.well-known/agent.json, /.well-known/ai-plugin.json. A file exists when it is served with a 2xx status.
  • check_page_signals(url) — the page's title, meta description, canonical, hreflang alternates, and the Schema.org types in its JSON-LD.

Remote tools (hosted analyzer)

  • check_identity(url) — the identity reading with a score out of 100 and what it says to fix. No model asked.
  • visibility_fixes(url) — the fix plan, most important first.
  • compare_sites(url, other) — your site and a competitor's, read the same way, side by side.
  • visibility_history(url) — how the reading moved over time.
  • analyze_site(url) — starts the audit that also asks the answer engines; returns a run_id.
  • get_analysis(run_id) — progress, then the score out of 100 and what to fix first.
  • my_reports() — signed in: your audits, newest first.

Remote calls are forwarded as JSON-RPC tools/call to the analyzer endpoint. Set INITE_MCP_URL to point at a different endpoint and INITE_TOKEN to send a Bearer token. Without an account the open tools answer under a per-address allowance (two a day, per the upstream service's terms).

CLI

bash
npx @reneturcios/visprobe check-ai-access stripe.comnpx @reneturcios/visprobe check-identity-files stripe.comnpx @reneturcios/visprobe check-page-signals stripe.com/pricingnpx @reneturcios/visprobe --version

Output is the report as JSON. Exit codes: 0 on success, 1 on a runtime error (including an unreachable site), 2 on a usage error.

MCP server

bash
npx -y @reneturcios/visprobe mcp

MCP client config:

json
{  "mcpServers": {    "visprobe": {      "command": "npx",      "args": ["-y", "@reneturcios/visprobe", "mcp"]    }  }}

Docker

bash
docker run -i ghcr.io/cloudcorprecords/visprobedocker run --rm ghcr.io/cloudcorprecords/visprobe check-page-signals example.com

Development

bash
npm installnpm run build   # tsc -> dist/npm test        # tsx --test test/*.test.ts (fake fetch, no network)npm run dev     # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

來源:README.md,提交 de8fde5

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.0最新Nov 3, 2026

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