MCP server for Agent Ready — scan any URL for AI-readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol
Agent Ready MCP MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. MCP server for Agent Ready — scan any URL for AI-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).
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).
Once Agent Ready MCP is connected, these are the calls the assistant has available:
scan_site — url (string, required), pageLimit (number, optional, max 2000 — capped by your plan; fixed at 25 keyless)get_scan — id (string, scan id from a prior scan_site call)ask — q (string, required), itemType (optional corpus filter), mode (optional, list or summarize)validate_structured_data — exactly one of url (string) or jsonld (string)Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 2 environment variables: AGENT_READY_API_KEY, AGENT_READY_API_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Agent Ready MCP's toolset — scan_site, get_scan, ask and 1 more — is a fair guide to whether it matches your workflow. It is maintained by mlava; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| scan_site | url (string, required), pageLimit (number, optional, max 2000 — capped by your plan; fixed at 25 keyless) |
| get_scan | id (string, scan id from a prior scan_site call) |
| ask | q (string, required), itemType (optional corpus filter), mode (optional, list or summarize) |
| validate_structured_data | exactly one of url (string) or jsonld (string) |
{
"mcpServers": {
"agent-ready": {
"command": "npx",
"args": ["-y", "agent-ready-mcp@latest"],
"env": {
"AGENT_READY_API_KEY": "ar_live_..."
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| AGENT_READY_API_KEY | Credential the server authenticates with. | Yes |
| AGENT_READY_API_URL | Endpoint or connection string the server talks to. | Yes |
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
AWS Labs' official server suite — current AWS docs, CDK guidance, cost analysis and service tools.
Cloud browsers for AI agents — automation sessions that run in Browserbase's fleet, not on your machine.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.