Agent Ready
The Agent Ready MCP server lets you scan websites and validate structured data for AI agent readability, providing scores, findings, and fix guidance.
Scan any URL (
scan_site) — Run a full agent-readability scan, returning a Vercel Agent Readability score (0–100), an llms.txt score (0–100), and per-check findings withhowToFixremediation guidance across 69 checks. Optionally limit pages crawled (up to 2,000).Retrieve a previous scan (
get_scan) — Fetch a completed or in-progress scan by its ID, useful when a scan exceeds the poll deadline and returns arunningplaceholder.Ask natural-language questions (
ask) — Query Agent Ready's content library — scoring methodology, check registry, supported specs, guides, and glossary — using natural language. Returns Schema.org-typed results and an optional extractive summary. No API key required.Validate JSON-LD structured data (
validate_structured_data) — Validate a page's structured data by URL or by pasting raw JSON-LD directly. Checks schema lint plus agent-coherence concerns and returns a verdict (agent-ready,needs-work, ornot-agent-readable) with per-check fix guidance. Paste mode works entirely offline.Generate workflows — The server supports prompts for high-level scan summaries, plain-English explanations of findings, and prioritized remediation plans.
Scans any URL for AI agent readability against the Vercel Agent Readability Spec, providing per-check findings and remediation guidance.
agent-ready-mcp
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). 69 checks across four spec families — 38 against the Vercel spec (15 site-wide + 23 per-page), 10 against llmstxt.org, and 21 against agent-protocol manifests — each with per-check fix guidance.
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. Polls the hosted API up to 60s; returns the full scan or arunningplaceholder.get_scan— fetch a previously-run scan by id.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.
Related MCP server: mcp-seo-audit
Setup
You'll need an Agent Ready Pro API key. Sign up at agent-ready.dev, upgrade to Pro, then issue a key from the dashboard.
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@latestCursor / 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 |
| Yes | — | Bearer token issued from the Agent Ready dashboard. |
| No |
| Override for self-hosted or staging deployments. |
| No |
| How long |
| No |
| Timeout for |
Tools
Tool | Inputs | Returns |
|
| Scan object: Vercel score 0–100, llms.txt sub-score 0–100, per-check findings with |
|
| Same scan object as |
|
| NLWeb |
| exactly one of | D-series structured-data result: |
Prompts
Prompt | Args | What it does |
|
| Fresh scan + high-level summary (score, rating, top 3–5 failures, next step). |
|
| Plain-English explanation of a previous scan's findings, grouped by category. |
|
| 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/scansAll 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 69 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 typecheckReleasing
Two GitHub Actions handle CI and release publishing:
.github/workflows/ci.yml— runs typecheck, tests, andnpm run buildon every PR and push tomain..github/workflows/release.yml— runs on everyv*tag push. Publishes to npm (with Sigstore provenance) and to the MCP registry via GitHub OIDC.
To cut a release:
# bump version in package.json, manifest.json, server.json, src/server.ts
git commit -am "vX.Y.Z: ..."
git tag vX.Y.Z
git push && git push --tagsThe release workflow handles npm + MCP registry automatically. Smithery republish (for the .mcpb bundle) and the GitHub release with custom notes are still manual — both have custom-content friction that's not worth automating today.
Required repository secret
NPM_TOKEN— npm automation token with publish access foragent-ready-mcp. Add at GitHub repo Settings → Secrets and variables → Actions.
The MCP registry publish uses GitHub OIDC (no stored secret required).
License
MIT — see LICENSE.
Maintenance
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