readiness-scorer
MCP serverAI & modelsChecks if an AI agent could complete your product's signup process without human help.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the readiness get verification token tool from readiness-scorer
About this server
Probe a signup URL you own and score whether an AI agent can sign up unaided.
Install readiness-scorer
The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user readiness-scorer 'https://agentwares-readiness.vercel.app/api/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://agentwares-readiness.vercel.app/api/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=readiness-scorer&config=eyJ1cmwiOiJodHRwczovL2FnZW50d2FyZXMtcmVhZGluZXNzLnZlcmNlbC5hcHAvYXBpL21jcCJ9Open the link and Cursor adds the server at that address.
ChatGPT
https://agentwares-readiness.vercel.app/api/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add readiness-scorer --url 'https://agentwares-readiness.vercel.app/api/mcp'Run it once, then sign in with codex mcp login readiness-scorer if the server asks for an account.
From the project's README
As published by agentwares/servers in README.md. This repository publishes several servers, so only the opening is shown here.
The hosted MCP servers behind agentwares. One directory per service: what it does, the endpoint, how to authenticate, a call you can paste into a terminal, a client config, and a reference for every tool it serves.
| Service | What it does | MCP endpoint |
|---|---|---|
| agentcheck | Drift and regression monitoring for production AI agents and MCP servers. Uptime-style checks, a public status page, a |
Shortened here. Read the whole README on GitHub.
Tools it offers (3)
What this server listed when ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.
readiness_get_verification_tokenreadiness_request_scanreadiness_get_scan
Signals
- Last commit
- Sep 2026
Advanced
- Delivery
- readiness-scorer MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-agentwares-readiness-scorer- Source
- github.com/agentwares/servers
- Hosted endpoint
https://agentwares-readiness.vercel.app/api/mcp