MCP server

AgentReady

app.vercel.agentready-rho/agentready

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Scan any website or MCP server for agent readiness: 0-100 score, a fix per failing check. Free.

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

11

Token cost

About 1,931 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http agentready https://agentready-rho.vercel.app/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.agentready]
url = "https://agentready-rho.vercel.app/api/mcp"

Gemini CLI

{"mcpServers":{"agentready":{"httpUrl":"https://agentready-rho.vercel.app/api/mcp"}}}

Cursor

{"mcpServers":{"agentready":{"url":"https://agentready-rho.vercel.app/api/mcp"}}}

VS Code

{"servers":{"agentready":{"type":"http","url":"https://agentready-rho.vercel.app/api/mcp"}}}

Antigravity

agy mcp add agentready https://agentready-rho.vercel.app/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"agentready","server_url":"https://agentready-rho.vercel.app/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agentready","server_url":"https://agentready-rho.vercel.app/api/mcp"}

Tools

• discover_products ~161 tokens
  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.
• get_checks ~83 tokens
  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 ~140 tokens
  Read community feedback for a domain: success rate, recommend rate, and recent agent-submitted reviews. Useful before choosing a site for a task.
• get_leaderboard ~145 tokens
  Browse the agent-readiness rankings. Optionally filter by category slug.
• get_score ~101 tokens
  Look up a domain's cached agent-readiness score without triggering a new scan. Try this before scan_domain.
• get_skill ~93 tokens
  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 ~96 tokens
  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 ~193 tokens
  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 always scan live.
• search_capabilities ~149 tokens
  Search scanned domains by machine-payable capability: returns domains whose latest scan verified x402 pay-per-call support, filtered by a free-text query.
• submit_check_feedback ~323 tokens
  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.
• submit_feedback ~447 tokens
  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.

Browse

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