MCP server for Agent Ready — scan any URL for AI agent readability against the Vercel Agent Readability Spec, llmstxt.org, and agent protocols (MCP, A2A, agents.json, agent-permissions, UCP, x402). 59 checks with per-check fix guidance.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
claude mcp add agent-ready-mcp -- npx -y agent-ready-mcp{
"mcpServers": {
"agent-ready-mcp": {
"command": "npx",
"args": ["-y", "agent-ready-mcp"],
"env": {
"AGENT_READY_API_KEY": "<agent_ready_api_key>"
}
}
}
}AGENT_READY_API_KEY1 items in this repository
This skill should be used when the user wants to check how readable a website is to AI agents (ChatGPT, Claude, Perplexity, Google Gemini, MCP clients). Activates for "scan this site for AI readability", "check my llms.txt", "audit our agent-readability", "is my MCP server card valid", "what's our Vercel Agent Readability score", "fix my agents.json", and similar audit-style requests against a public URL. Does not edit the target site — pair with a code-editing MCP tool to apply the fixes the scanner surfaces.
MCP Servers overview
# agent-ready-mcp
MCP server for [Agent Ready](https://agent-ready.dev) — scan any URL for AI agent readability against the [Vercel Agent Readability Spec](https://vercel.com/kb/guide/agent-readability-spec), the [llmstxt.org](https://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, 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 under `skills/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](https://agent-ready.dev) and issue a key from the [dashboard](https://agent-ready.dev/dashboard/api-keys). 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):
```json
{
"mcpServers": {
"agent-ready": {
"command": "npx",
"args": ["-y", "agent-ready-mcp@latest"],
"env": {
"AGENT_READY_API_KEY": "ar_live_..."
}
}
}
}
```
### Claude Code
```bash
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`:
```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 69 checks, their weights, and the score formula are documented at [agent-ready.dev/methodology](https://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
```bash
npm install
npm run build # → dist/mcp-server.mjs
npm test
npm run typecheck
```
## Releasing
See [RELEASE.md](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](LICENSE).
What people ask about agent-ready-mcp
What is mlava/agent-ready-mcp?
+
mlava/agent-ready-mcp is mcp servers for the Claude AI ecosystem. MCP server for Agent Ready — scan any URL for AI agent readability against the Vercel Agent Readability Spec, llmstxt.org, and agent protocols (MCP, A2A, agents.json, agent-permissions, UCP, x402). 59 checks with per-check fix guidance. It has 1 GitHub stars and was last updated today.
How do I install agent-ready-mcp?
+
You can install agent-ready-mcp by cloning the repository (https://github.com/mlava/agent-ready-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is mlava/agent-ready-mcp safe to use?
+
Our security agent has analyzed mlava/agent-ready-mcp and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains mlava/agent-ready-mcp?
+
mlava/agent-ready-mcp is maintained by mlava. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to agent-ready-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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