agentbuilt

dev.agentbuilt由 agentbuilt.dev 发布官方发布者v1.0.1更新于 Oct 27, 2026

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

已验证Streamable HTTP可网页运行网页搜索与抓取数据与分析商业与电商

概览

AI 生成的概览

远程 MCP 服务器，可审计某个网址对 AI 爬虫与助手的可读性，并列出 agentbuilt 的按结果付费数据工具。

可以做什么
  • 审计网址的 AI 可读性：GPTBot、ClaudeBot、PerplexityBot、Google-Extended 等在 robots.txt 中的规则、无 JavaScript 时的正文、JSON-LD 类型、llms.txt、站点地图、canonical 与 meta 描述，并返回评分、发现与修复建议
  • 浏览 agentbuilt 的按结果付费数据工具目录，了解每个工具的用途、适用场景、明确不能做的事以及费用
  • 申请人工可读的 AI 可见度审计：向 ChatGPT、Perplexity、Gemini 和 Claude 提出真实买家问题，并以邮件回报提及率、引用率及被点名的竞争对手
适用场景
适合检查网站能否被 AI 助手读取和引用，或对比多个页面的爬虫访问权限与结构化数据。也可用于在接入数据管道前了解 agentbuilt 的付费数据工具。
运行要求
远程 Streamable HTTP 端点，位于 agentbuilt.dev；免费工具无需安装包、API 密钥或环境变量。申请可见度审计需要电子邮箱地址，并需当事人明确同意。
安装前请注意
申请可见度审计会提交电子邮箱地址并触发双重确认，务必先取得用户明确同意。目录中列出的是按结果付费的工具，服务器只说明费用，不会在此完成购买。审计会由服务器代为抓取任意网址。

安装

在 SourceWeft 中

  1. 打开 控制台中的 agentbuilt，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/dev.agentbuilt%2Fagentbuilt/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

来源：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.

输入参数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.

输入参数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.

输入参数brand必填email必填notesdomain必填consent必填

版本历史

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

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度，依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价，也不表示服务器安全或当前可用：可连通性是带日期的检查结果，评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分