agent-ready
mcp.agent-ready.dev
· Agent Ready
AI agent readability scanner. Scores any site against the Vercel Agent Readability Spec and llmstxt.org, and reports per-check remediation guidance.
mcp.agent-ready.dev via a single DNS TXT record to add the
verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
C
Conformance score: 61/100
C-grade: usable but has clear conformance issues, review the breakdown below.
click to expand breakdown ▾
click to collapse breakdown ▴
agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 calls Public aggregate · no PII recordedNo calls observed in the last 7 days. Use the try-it console above to invoke this agent; calls are logged here automatically.
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | |
|---|---|---|
| 2026-06-16 14:49:38 current | 0328e7200def… |
view → |
Try it
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Endpoints
| Agent card | https://mcp.agent-ready.dev/.well-known/agent-card.json |
| Provider | https://agent-ready.dev |
| Docs | https://agent-ready.dev/docs/api |
Skills · 3 declared · mapped to canonical taxonomy
Run the agent-ready scanner against a URL. Returns Vercel score, llmstxt.org score, per-check results, and discovered agentic-protocol endpoints. Send via messa…
Fetch a completed or in-progress scan by its id via the A2A tasks/get method. Only scans owned by the authenticated API key's user are returned.
Natural-language search (NLWeb) over Agent Ready's own methodology, check registry, and the specs it validates. Public — no API key required. Returns Schema.org…
Health · last 1 probes
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Markdown / HTML snippets
[](https://agenstry.com/agents/mcp.agent-ready.dev) [](https://agenstry.com/agents/mcp.agent-ready.dev) [](https://agenstry.com/agents/mcp.agent-ready.dev) [](https://agenstry.com/agents/mcp.agent-ready.dev)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"protocolVersion": "0.3.0",
"name": "agent-ready",
"description": "AI agent readability scanner. Scores any site against the Vercel Agent Readability Spec and llmstxt.org, and reports per-check remediation guidance.",
"version": "1.0.0",
"url": "https://agent-ready.dev/api/v1/a2a",
"preferredTransport": "JSONRPC",
"documentationUrl": "https://agent-ready.dev/docs/api",
"provider": {
"organization": "Agent Ready",
"url": "https://agent-ready.dev"
},
"capabilities": {
"streaming": false,
"pushNotifications": false
},
"supportedInterfaces": [
{
"url": "https://agent-ready.dev/api/v1/a2a",
"protocolBinding": "JSONRPC",
"protocolVersion": "0.3.0"
}
],
"defaultInputModes": [
"application/json",
"text/plain"
],
"defaultOutputModes": [
"application/json"
],
"securitySchemes": {
"bearer": {
"type": "http",
"scheme": "bearer",
"description": "Agent Ready Pro API key (ar_live_\u2026). Required for scan_site and tasks/get; the ask skill is public. Issue a key at https://agent-ready.dev/dashboard/api-keys."
}
},
"security": [
{
"bearer": []
},
{}
],
"skills": [
{
"id": "scan_site",
"name": "Scan a site",
"description": "Run the agent-ready scanner against a URL. Returns Vercel score, llmstxt.org score, per-check results, and discovered agentic-protocol endpoints. Send via message/send; a long scan returns a working Task whose id you poll with tasks/get.",
"tags": [
"scan",
"readability",
"llms-txt",
"mcp",
"a2a"
],
"examples": [
"Scan https://example.com for AI agent readability."
],
"inputModes": [
"application/json",
"text/plain"
],
"outputModes": [
"application/json"
]
},
{
"id": "get_scan",
"name": "Get a scan by id",
"description": "Fetch a completed or in-progress scan by its id via the A2A tasks/get method. Only scans owned by the authenticated API key's user are returned.",
"tags": [
"scan",
"read"
],
"examples": [
"Get the result of scan abc123 via tasks/get."
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "ask",
"name": "Ask Agent Ready",
"description": "Natural-language search (NLWeb) over Agent Ready's own methodology, check registry, and the specs it validates. Public \u2014 no API key required. Returns Schema.org-typed results.",
"tags": [
"ask",
"nlweb",
"search",
"methodology"
],
"examples": [
"How is the llms.txt score calculated?"
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"application/json"
]
}
]
}