agentbuilt

dev.agentbuilt由 agentbuilt.dev 發布官方發布者v1.0.1更新於 Oct 27, 2026

Free AI-readiness audit of any URL: AI crawler rules, JS-free text, JSON-LD, llms.txt. Tool catalog.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取資料與分析商業與電商

概覽

AI 產生的概覽

遠端 MCP 伺服器，可稽核某個網址對 AI 爬蟲與助理的可讀性，並列出 agentbuilt 的按結果計費資料工具。

可以做什麼
  • 稽核網址的 AI 可讀性：GPTBot、ClaudeBot、PerplexityBot、Google-Extended 等在 robots.txt 中的規則、無 JavaScript 時的正文、JSON-LD 類型、llms.txt、網站地圖、canonical 與 meta 描述，並回傳評分、發現與修正建議
  • 瀏覽 agentbuilt 的按結果計費資料工具目錄，了解每個工具的用途、適用時機、明確做不到的事以及費用
  • 申請人工可讀的 AI 能見度稽核：向 ChatGPT、Perplexity、Gemini 和 Claude 提出真實買家問題，並以電子郵件回報提及率、引用率及被點名的競爭對手
適用情境
適合檢查網站能否被 AI 助理讀取與引用，或比較多個頁面的爬蟲存取權限與結構化資料。也適合在接入資料流程前先了解 agentbuilt 的付費資料工具。
執行需求
遠端 Streamable HTTP 端點，位於 agentbuilt.dev；免費工具不需安裝套件、API 金鑰或環境變數。申請能見度稽核需要電子郵件地址，並需當事人明確同意。
安裝前請注意
申請能見度稽核會送出電子郵件地址並觸發雙重確認，務必先取得使用者明確同意。目錄列出的是按結果計費的工具，伺服器只說明費用，不會在此完成購買。稽核會由伺服器代為抓取任意網址。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 agentbuilt，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。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/dev.agentbuilt%2Fagentbuilt/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "agentbuilt": {
      "type": "http",
      "url": "https://agentbuilt.dev/api/mcp"
    }
  }
}

README

agentbuilt MCP server

A small, stateless Model Context Protocol server that gives any AI agent a free AI-readiness audit of a URL, plus an A2A endpoint exposing the same capability as an agent. It runs as plain Vercel serverless functions — no framework, no database, no SDK.

Live endpoint: https://agentbuilt.dev/api/mcp (Streamable HTTP, protocol 2025-06-18). Listed in the official MCP registry as dev.agentbuilt/agentbuilt.

Tools

ToolWhat it doesCost
audit_ai_readinessFetches a URL the way an AI crawler would and scores how legible it is to assistants: robots.txt rules for GPTBot / ClaudeBot / PerplexityBot / Google-Extended and friends, whether the page has real text without JavaScript, JSON-LD types, llms.txt, sitemap, canonical, meta description, FAQ schema. Returns a score, findings and concrete fixes.free
list_agentbuilt_toolsCatalog of agentbuilt's pay-per-result data tools (YouTube transcripts, Substack, Shopify → ChatGPT product feeds, AI visibility audits) with a "how to call" block for each.free
request_visibility_auditRequests the paid-tier audit (does ChatGPT / Perplexity actually recommend this brand?) — requires explicit consent and double opt-in by email.free to request

Use it from a client

Claude.ai / Claude Desktop — Settings → Connectors → Add custom connector → URL https://agentbuilt.dev/api/mcp.

Cursor — .cursor/mcp.json:

json
{ "mcpServers": { "agentbuilt": { "url": "https://agentbuilt.dev/api/mcp" } } }

VS Code — .vscode/mcp.json:

json
{ "servers": { "agentbuilt": { "type": "http", "url": "https://agentbuilt.dev/api/mcp" } } }

curl

bash
curl -s https://agentbuilt.dev/api/mcp -H 'content-type: application/json' -H 'accept: application/json' \  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"audit_ai_readiness","arguments":{"url":"https://example.com"}}}'

A2A — agent card at https://agentbuilt.dev/.well-known/agent-card.json; message/send to https://agentbuilt.dev/api/a2a with a message containing a URL.

Why the readiness check is built the way it is

  • SSRF-safe fetching (api/_lib/net.js): the hostname is resolved once, every address is validated against private / link-local / CGNAT / metadata ranges (IPv4 and IPv6, including v4-mapped, NAT64 and 6to4 forms), and the HTTPS connection is pinned to the validated address via Node's lookup option — so a hostile nameserver can't answer public for the check and private for the connect. Redirects are followed manually and re-validated per hop. Only ports 80 and 443.
  • Honest crawler-access reporting: if a site refuses the anonymous request, the check retries as the documented AI crawler user-agents. A 403 to our spoofed GPTBot is reported as exactly that — bot managers such as Cloudflare verify real crawlers by IP and reject impostors — never as "GPTBot is blocked". We learned this the hard way on a real audit; the only proof of a block is a robots rule or the assistant itself failing to read the page.
  • Real-JSON / real-XML probes: a SPA that returns 200 HTML for /llms.txt or /sitemap.xml is not counted as having them.
  • Stateless: no sessions, no storage for the free tool. GET with Accept: text/event-stream returns 405 by design (no server-initiated streams).

Deploy your own

Fork, vercel deploy. The free tools need no environment variables. request_visibility_audit needs WAITLIST_KEY (32-byte base64, for sealing emails), APIFY_TOKEN and WAITLIST_DATASET_ID; without them it returns a clear error and the other tools keep working.

server.json is the registry manifest; PUBLISHING.md records the exact mcp-publisher commands and the gotchas we hit (schema version, description length, UTF-8 BOM).

About

agentbuilt is an AI-operated studio: an AI agent builds and runs it, and Matt Edward (Calgary, Canada) is the accountable human owner. The studio publishes its ledger and its data — e.g. AI share of voice: lease accounting software — at agentbuilt.dev.

MIT licensed. Issues and PRs welcome; an AI agent reads them, and the owner is accountable for what gets merged.

來源：README.md，提交 15f5415

工具

3

audit_ai_readiness

Audit how legible a site is to AI assistants

Free. Fetches a URL and reports how readable it is to AI assistants and agents: whether GPTBot, ClaudeBot, PerplexityBot, Google-Extended and friends are allowed in robots.txt, how much real text survives without JavaScript, what JSON-LD entity types are declared, and whether llms.txt, sitemap.xml and an A2A agent card exist. Returns a score, the individual checks, and concrete fixes. It does NOT tell you whether assistants actually recommend the brand — that requires querying the models, which is the paid audit.

輸入參數url必填

list_agentbuilt_tools

List agentbuilt data tools

Free. Returns the agentbuilt catalog of pay-per-result data tools for AI pipelines — what each one does, when to use it, what it explicitly cannot do, and what it costs. Use this when choosing a tool for extracting YouTube transcripts, Substack archives, Shopify/ACP product feeds, or measuring AI-assistant visibility. Each tool is callable over the Apify API, as an MCP tool, or from n8n, Make and Zapier, using the caller own Apify account.

輸入參數task

request_visibility_audit

Request a free AI visibility audit

Requests the free human-readable audit: agentbuilt asks real buyer questions to ChatGPT, Perplexity, Gemini and Claude and emails back a report on mention rate, citation rate and which competitors get named instead. Only call this when the person you are acting for has asked for it and has given you their own email address for this purpose. Do not call it speculatively, and do not submit an address that is not theirs.

輸入參數brand必填email必填notesdomain必填consent必填

版本歷史

2
  1. v1.0.1最新Sep 23, 2026
  2. v1.0.0Sep 19, 2026

評分

已滿足適用檢查項的 100%

該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分