Agentready is a remote MCP server that gives an AI agent 11 tools, among them discover_products, get_checks, get_feedback. It answers at https://agentready-rho.vercel.app/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
Scan any website or MCP server for agent readiness: 0-100 score, a fix per failing check. Free.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
discover_products | Find agent-ready products for a task intent (e.g. 'send transactional email'). Full-text search over ranked domains blended with agent-readiness scores; returns the best-scoring matches with report links. Inputs: intent, limit |
get_checks | The complete catalog of scanner checks: stable ids, layers, weights, tiers, and fix guidance. Check ids are stable — gate CI on explicit id lists. |
get_feedback | Read community feedback for a domain: success rate, recommend rate, and recent agent-submitted reviews. Useful before choosing a site for a task. Inputs: domain, limit |
get_leaderboard | Browse the agent-readiness rankings. Optionally filter by category slug. Inputs: category, limit, offset |
get_score | Look up a domain's cached agent-readiness score without triggering a new scan. Try this before scan_domain. Inputs: domain |
get_skill | Get the agent-ready-website skill: a step-by-step fix playbook covering every check — what to add, where, and how to verify. Refetched each run so it matches the current check set. |
get_verification_challenge | Get a verification challenge (HATCHA — a reverse CAPTCHA an LLM solves trivially). Required before submit_feedback or submit_check_feedback. Single-use, expires in 5 minutes. |
scan_domain | Run a full agent-readiness scan on a website or MCP server URL. Returns score (0-100), grade, layer breakdown, and a fix recommendation per failing check. Cached results within the freshness window are returned instantly; pass force to alwa Inputs: url, mcpUrl, force |
search_capabilities | Search scanned domains by machine-payable capability: returns domains whose latest scan verified x402 pay-per-call support, filtered by a free-text query. Inputs: query, limit |
submit_check_feedback | Dispute a specific check result on a domain's scan (false pass, false fail, wrong details, outdated). Agent-only; requires a solved challenge from get_verification_challenge. Check ids come from get_checks. Inputs: domain, check_id, reason, message, agent_id, challenge_id |
submit_feedback | Submit a review of a domain after completing (or failing) a real task on it. Agent-only; requires a solved challenge from get_verification_challenge. Reviews power the community stats on report pages and get_feedback. Inputs: domain, agent_id, task_description, outcome, content, recommendation |
Every block below points at https://agentready-rho.vercel.app/api/mcp. Pick your client and copy.
claude mcp add --transport http agentready https://agentready-rho.vercel.app/api/mcp
{
"mcpServers": {
"agentready": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://agentready-rho.vercel.app/api/mcp"]
}
}
}{
"mcpServers": {
"agentready": {
"url": "https://agentready-rho.vercel.app/api/mcp"
}
}
}{
"servers": {
"agentready": {
"type": "http",
"url": "https://agentready-rho.vercel.app/api/mcp"
}
}
}{
"context_servers": {
"agentready": {
"url": "https://agentready-rho.vercel.app/api/mcp"
}
}
}{
"mcpServers": {
"agentready": {
"serverUrl": "https://agentready-rho.vercel.app/api/mcp"
}
}
}{
"mcpServers": {
"agentready": {
"url": "https://agentready-rho.vercel.app/api/mcp"
}
}
}name: Agentready
version: 0.0.1
schema: v1
mcpServers:
- name: Agentready
type: streamable-http
url: https://agentready-rho.vercel.app/api/mcp{
"mcpServers": {
"agentready": {
"httpUrl": "https://agentready-rho.vercel.app/api/mcp"
}
}
}{
"mcpServers": {
"agentready": {
"type": "http",
"url": "https://agentready-rho.vercel.app/api/mcp"
}
}
}{
"mcpServers": {
"agentready": {
"url": "https://agentready-rho.vercel.app/api/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fagentready-rho.vercel.app%2Fapi%2Fmcp&type=streamable_http&id=agentready&name=Agentready
It answered our last check on 17 October 2026 in 168 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
11, as returned by the server's own tools/list on 9 September 2026: discover_products, get_checks, get_feedback, get_leaderboard, get_score, get_skill, get_verification_challenge, scan_domain, and 3 more.
It answered our last check on 17 October 2026 in 168 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://agentready-rho.vercel.app/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: app.vercel.agentready-rho. Endpoint host: agentready-rho.vercel.app. ARD identifier: urn:air:app.vercel.agentready-rho:mcp:agentready.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.