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agentbuilt

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

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http agentbuilt 'https://agentbuilt.dev/api/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "agentbuilt": {
            "type": "http",
            "url": "https://agentbuilt.dev/api/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. agentbuilt MCP server
  2. Tools
  3. Use it from a client
  4. Why the readiness check is built the way it is
  5. Deploy your own
  6. About

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:

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

VS Code — .vscode/mcp.json:

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

curl

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.

Frequently asked questions

What is agentbuilt?

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

How do I install agentbuilt?

It runs as a remote server. In Claude Code: claude mcp add --transport http agentbuilt 'https://agentbuilt.dev/api/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does agentbuilt need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is agentbuilt open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains agentbuilt?

It is published by agentbuilt. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.