agentbuilt MCP server
Commit Sep 23, 2026Audits URLs for AI-readiness by checking crawler rules, text legibility, and structured data like JSON-LD and llms.txt.
Also known as agentbuilt/agentbuilt-mcp, agentbuilt-mcp
- Stars
- 0
- Tools
- 3
- Downloads, 30 days
- —
- Latest version
- 1.0.1
- Last commit
- Sep 23, 2026
- License
- MIT
What is agentbuilt MCP?
agentbuilt audits URLs for AI-readiness by checking crawler rules, text legibility, and structured data like JSON-LD and llms.txt. It exposes 3 tools, such as audit_ai_readiness, list_agentbuilt_tools, request_visibility_audit.
Summary generated from the project's README
About agentbuilt MCP server
Auditing websites to ensure they are readable by artificial intelligence is the primary function of agentbuilt. Developers and site owners use this tool to check how well AI crawlers like GPTBot, ClaudeBot, or PerplexityBot can access and interpret their content. By connecting via a remote URL in clients like Claude Desktop, Cursor, or VS Code, users can run an audit that evaluates robots.txt rules, text legibility without JavaScript, JSON-LD types, sitemaps, and the presence of an llms.txt file.
The server operates as a stateless collection of Vercel serverless functions. The audit_ai_readiness tool provides a score and specific fixes for free, while the list_agentbuilt_tools command allows users to discover other data tools such as YouTube transcripts or Shopify product feeds. For deeper insights, the request_visibility_audit tool can be used to ask if specific brands are actually recommended by assistants like ChatGPT, though this requires a paid tier and email opt-in.
What you can do with it
- 1Check website crawler accessibilityEvaluate if your site's robots.txt rules allow specific AI bots to crawl your content.
- 2Analyze brand recommendation statusDetermine if AI assistants are actively recommending your brand to users.
- 3Discover specialized data toolsFind additional tools for extracting transcripts or product feeds for AI use.
Written from the project's README. Every use case is checked against a quote from it.
How to install agentbuilt MCP
Formats verified 10 Nov 2026Add to CursorInstall agentbuilt MCP in Claude Code
$ claude mcp add --transport http agentbuilt-mcp https://agentbuilt.dev/api/mcpInstall agentbuilt MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"agentbuilt-mcp": {
"url": "https://agentbuilt.dev/api/mcp"
}
}
}Install agentbuilt MCP in VS Code
.vscode/mcp.json
{
"servers": {
"agentbuilt-mcp": {
"type": "http",
"url": "https://agentbuilt.dev/api/mcp"
}
}
}Install agentbuilt MCP in VS Code CLI
$ code --add-mcp '{"name":"agentbuilt-mcp","type":"http","url":"https://agentbuilt.dev/api/mcp"}'Install agentbuilt MCP in Codex
~/.codex/config.toml
[mcp_servers.agentbuilt-mcp] url = "https://agentbuilt.dev/api/mcp"
Install agentbuilt MCP in Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"agentbuilt-mcp": {
"httpUrl": "https://agentbuilt.dev/api/mcp"
}
}
}agentbuilt MCP tools 3
Detected from the READMEaudit_ai_readinesslist_agentbuilt_toolsrequest_visibility_audit
| audit_ai_readiness | — | |
| list_agentbuilt_tools | — | |
| request_visibility_audit | — |
Automated checks
Ran Nov 15, 2026Full report →Not verified yet. A server needs a score of 80, no serious finding, and enough data for us to check. How checks work
- Source repository linked and reachableagentbuilt/agentbuilt-mcp is public and reachablegithub.com/agentbuilt/agentbuilt-mcp ↗Pass
- Package names this repository as its sourceNot checked
- Build provenance (Sigstore attestation)Not checked
- Open source license (OSI)MITspdx.org/licenses/MIT.html ↗Pass
- Commit or release in the last yearLast commit or release 2026-09-23github.com/agentbuilt/agentbuilt-mcp ↗Pass
- OpenSSF ScorecardNot checked
- Package name not close to a popular packageNot checked
- No critical advisory in the package or its dependenciesNot checked
- No hidden instructions to the model3 tool descriptions and the README read; no override phrases, credential paths or hidden charactersPass
- Destructive tools are labelledNo tool named like delete, drop or execPass
- Remote endpoint answers the MCP handshakeinitialize answered with protocol 2025-06-18 in 153 msPass
README
View on GitHubagentbuilt 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
| Tool | What it does | Cost |
|---|---|---|
audit_ai_readiness |
Fetches 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_tools |
Catalog 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_audit |
Requests 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'slookupoption — 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.txtor/sitemap.xmlis not counted as having them. - Stateless: no sessions, no storage for the free tool.
GETwithAccept: text/event-streamreturns 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.
agentbuilt MCP questions
How do I add agentbuilt MCP to Claude Code?
Run claude mcp add --transport http agentbuilt-mcp https://agentbuilt.dev/api/mcp in your terminal. Add --scope user to make it available in every project.
How do I add agentbuilt MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
What tools does agentbuilt MCP provide?
It exposes 3 tools, including audit_ai_readiness, list_agentbuilt_tools, request_visibility_audit.
What does the AI-readiness audit check?
It evaluates robots.txt rules for bots like GPTBot and ClaudeBot, JavaScript-free text availability, JSON-LD types, llms.txt, sitemaps, and meta descriptions.
Does the server require a database or framework?
No, it runs as plain Vercel serverless functions without a framework, database, or SDK.