agent-ready-mcp
MCP serverCloud & infraThis integration lets your AI check any web page for agent readability, meaning how easily AI agents can read and work with it. It scans a URL against known standards, including the Vercel Spec, llmstxt.org guidelines, and agent manifests. You get a clear picture of how ready a site is for AI agents.
Use agent-ready-mcp in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add agent-ready-mcp and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use agent-ready-mcp to scan site
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Details
Available today. Use it from your connected AI after setup.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
After adding it, share a URL with your AI and ask it to check how readable that page is for AI agents.
What your AI can do with it
- Scan any URL for AI agent readability
- Check pages against the Vercel Spec
- Check pages against llmstxt.org guidelines
- Detect agent manifests on a page
Install agent-ready-mcp
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user agent-ready-mcp 'https://agent-ready.dev/api/v1/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://agent-ready.dev/api/v1/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=agent-ready-mcp&config=eyJ1cmwiOiJodHRwczovL2FnZW50LXJlYWR5LmRldi9hcGkvdjEvbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://agent-ready.dev/api/v1/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add agent-ready-mcp --url 'https://agent-ready.dev/api/v1/mcp'Run it once, then sign in with codex mcp login agent-ready-mcp if the server asks for an account.
From the project's README
As published by mlava/agent-ready-mcp in README.md.
MCP server for Agent Ready — scan any URL for AI agent readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests (MCP server cards, A2A, agents.json, agent-permissions.json, UCP, x402, NLWeb). 72 checks across four spec families — 40 site and page checks (15 site-wide + 25 per-page), 10 against llmstxt.org, and 22 against agent-protocol manifests — each with per-check fix guidance, plus a separate accessibility sub-score from 23 WCAG 2.2 / layout-stability checks.
Hosted at https://agent-ready.dev/api/v1/mcp (Streamable HTTP); this package is a thin stdio wrapper around the same REST endpoints, distributed via npm for local MCP clients (Claude Desktop, Claude Code, Cursor, VS Code, Windsurf).
Features
scan_site— fresh agent-readability scan on any URL. Works without a key on the anonymous free tier (3 scans/30 days per IP, 25-page depth, synchronous); with a Pro key it scans up to 250 pages, polling the hosted API up to 60s.get_scan— fetch a previously-run scan by id (Pro key required — scan history is account-scoped).ask— natural-language (NLWeb) search over Agent Ready's own methodology, checks, and specs. Public, no API key required; returns Schema.org-typed results.validate_structured_data— validate a page's (or a pasted) JSON-LD against Agent Ready's structured-data checks. Public, no API key required; paste mode needs no network, so an agent can check JSON-LD it just authored.- Three discovery prompts —
scan,interpret_scan,remediation_plan. End-to-end workflows from URL → score → fix-it plan. SKILL.md— Claude Skill descriptor included underskills/agent-ready/for activation routing.
Setup
No key is required to start: scan_site, ask, and validate_structured_data all work anonymously out of the box (scan_site on the free anonymous quota — 3 scans per 30 days per IP at 25-page depth). An Agent Ready Pro API key unlocks 50 scans/month, 250-page depth, scan history (get_scan), and weekly monitoring — sign up at agent-ready.dev and issue a key from the dashboard. The env block in the configs below is optional; omit it to run keyless.
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"agent-ready": {
"command": "npx",
"args": ["-y", "agent-ready-mcp@latest"],
"env": {
"AGENT_READY_API_KEY": "ar_live_..."
}
}
}
}
Claude Code
claude mcp add agent-ready \
-e AGENT_READY_API_KEY=ar_live_... \
-- npx -y agent-ready-mcp@latest
Cursor / VS Code / Windsurf
.cursor/mcp.json, .vscode/mcp.json, or ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"agent-ready": {
"command": "npx",
"args": ["-y", "agent-ready-mcp@latest"],
"env": {
"AGENT_READY_API_KEY": "ar_live_..."
}
}
}
}
Environment variables
| Variable | Required | Default | Purpose |
|---|---|---|---|
AGENT_READY_API_KEY | No | — | Pro Bearer token from the Agent Ready dashboard. Without it, scan_site uses the anonymous free tier and get_scan is unavailable. |
AGENT_READY_API_URL | No | https://agent-ready.dev | Override for self-hosted or staging deployments. |
AGENT_READY_SCAN_TIMEOUT_MS | No | 60000 | How long scan_site polls before returning a running placeholder. |
AGENT_READY_GET_TIMEOUT_MS | No | 5000 | Timeout for get_scan and per-poll fetches. |
Tools
| Tool | Inputs | Returns |
|---|---|---|
scan_site | url (string, required), pageLimit (number, optional, max 2000 — capped by your plan; fixed at 25 keyless) | Scan object: Vercel score 0–100, llms.txt sub-score 0–100, per-check findings with howToFix strings. Keyless runs use the anonymous free tier (3 scans/30 days per IP) and return synchronously; with a Pro key, returns { id, status: "running" } placeholder if the scan exceeds the poll deadline. |
get_scan | id (string, scan id from a prior scan_site call) | Same scan object as scan_site, or not_found if the id is unknown or doesn't belong to the authenticated user. Pro key required. |
ask | q (string, required), itemType (optional corpus filter), mode (optional, list or summarize) | NLWeb /ask over Agent Ready's methodology, checks, and specs. Public — no API key required. Schema.org-typed result objects. |
validate_structured_data | exactly one of url (string) or jsonld (string) | D-series structured-data result: mode, url, per-check findings, and a summary verdict. Public — no API key required. Validates schema lint + agent-coherence the first-party validators don't. |
Prompts
| Prompt | Args | What it does |
|---|---|---|
scan | url | Fresh scan + high-level summary (score, rating, top 3–5 failures, next step). |
interpret_scan | id | Plain-English explanation of a previous scan's findings, grouped by category. |
remediation_plan | id, optional focus ("seo" or "agents") | Prioritised fix-it doc with Now/Next/Later buckets and per-fix check ids. |
Example workflow
You: Use agent-ready to scan https://my-saas.com
Claude: [calls scan_site] Your site scored 78/100 (Good) on the Vercel Agent
Readability Spec. The top 3 fixes: …
You: Can you build me a remediation plan?
Claude: [calls remediation_plan with the scan id] Here's the prioritised list…
Skill (Anthropic Claude Skills)
A SKILL.md lives at skills/agent-ready/SKILL.md inside the package. To use it in Claude Desktop / Claude Code, copy the skills/agent-ready/ directory into ~/.claude/skills/.
The skill describes when to activate (URL + readability-audit intent), which tool to pick, how to surface scan results without dumping raw JSON, and when to defer to other tools (general SEO, performance profiling, code editing).
How it works
This package is a thin stdio→HTTPS wrapper:
MCP client (stdio) ↔ agent-ready-mcp ↔ HTTPS ↔ agent-ready.dev/api/v1/scans
All scan execution, persistence, and Pro-tier quota enforcement happen on the hosted server. The npm package only translates between MCP JSON-RPC over stdio and the REST API.
If you'd rather use the hosted MCP server directly (Streamable HTTP transport, no local install), point your MCP client at https://agent-ready.dev/api/v1/mcp with Authorization: Bearer ar_live_....
Methodology
The 72 checks, their weights, and the score formula are documented at agent-ready.dev/methodology. Both manifest.json and server.json in this repo conform to the relevant registry schemas (Glama Marketplace v0.3 and MCP registry 2025-12-11 respectively).
Development
npm install
npm run build # → dist/mcp-server.mjs
npm test
npm run typecheck
Releasing
See RELEASE.md. It is the source of truth for version surfaces, local checks, tag pushing, the GitHub Actions release workflow, and the manual post-release steps.
License
MIT — see LICENSE.
Tools it offers (3)
What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
scan_siteget_scanask
Signals
- GitHub stars
- 1
- Forks
- 1
- Last commit
- Sep 2026
- Weekly downloads
- 111
- Weekly_downloads
- 95 weekly_downloads
Advanced
- Delivery
- agent-ready-mcp MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-mlava-agent-ready-mcp- Source
- github.com/mlava/agent-ready-mcp
- Hosted endpoint
https://agent-ready.dev/api/v1/mcp
github.com/mlava/agent-ready-mcp
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