Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Agent Ready

by mlavaversion 0.7.7i★ –iComputer or cloud
Registry nameio.github.mlava/agent-ready-mcp

Install

Overview

Description from the maker (original English)

Scan any URL for AI agent readability — Vercel Spec, llmstxt.org, and agent-protocol manifests.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Developer tools
  • You need to fill in: AGENT_READY_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: AGENT_READY_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://agent-ready.dev/api/v1/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-ready": {
      "command": "npx",
      "args": [
        "-y",
        "agent-ready-mcp"
      ],
      "env": {
        "AGENT_READY_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http agent-ready https://agent-ready.dev/api/v1/mcp

Or run it on your computer

claude mcp add agent-ready --env AGENT_READY_API_KEY=your-value -- npx -y agent-ready-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-ready": {
      "url": "https://agent-ready.dev/api/v1/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-ready": {
      "command": "npx",
      "args": [
        "-y",
        "agent-ready-mcp"
      ],
      "env": {
        "AGENT_READY_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-ready": {
      "type": "http",
      "url": "https://agent-ready.dev/api/v1/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-ready": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agent-ready-mcp"
      ],
      "env": {
        "AGENT_READY_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://agent-ready.dev/api/v1/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AGENT_READY_API_KEY secret env
    Agent Ready Pro API key for scan_site and get_scan. ask and validate_structured_data work without one. Issue a key at https://agent-ready.dev/dashboard/api-keys.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mlava, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Developer toolsi

  • More stars than 0% of the other 1394 servers in this category
  • Published to the registry more recently than 49% of the other 1394 servers in this category
  • Basic checks equal to or better than 100% of the other 1394 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Ready safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AGENT_READY_API_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.7.7) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 3 days ago
Install

Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

agent-ready-mcp

MCP server for Agent Ready — scan any URL for AI agent 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). 72 checks across four spec families — 40 site and page checks (15 site-wide + 25 per-page), 10 against llmstxt.org, and 22 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 and issue a key from the dashboard. 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):

{

"mcpServers": { "agent-ready": { "command": "npx", "args": ["-y", "agent-ready-mcp@latest"], "env": { "AGENT_READY_API_KEY": "ar_live_..." } } } }

Claude Code
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:

{

"mcpServers": { "agent-ready": { "command": "npx", "args": ["-y", "agent-ready-mcp@latest"], "env": { "AGENT_READY_API_KEY": "ar_live_..." } } } }

Environment variables

VariableRequiredDefaultPurpose
AGENT_READY_API_KEYNo—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_URLNohttps://agent-ready.devOverride for self-hosted or staging deployments.
AGENT_READY_SCAN_TIMEOUT_MSNo60000How long scan_site polls before returning a running placeholder.
AGENT_READY_GET_TIMEOUT_MSNo5000Timeout for get_scan and per-poll fetches.

Tools

ToolInputsReturns
scan_siteurl (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_scanid (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.
askq (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_dataexactly 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

PromptArgsWhat it does
scanurlFresh scan + high-level summary (score, rating, top 3–5 failures, next step).
interpret_scanidPlain-English explanation of a previous scan's findings, grouped by category.
remediation_planid, 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 72 checks, their weights, and the score formula are documented at 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

npm install

npm run build # → dist/mcp-server.mjs npm test npm run typecheck

Releasing

See 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.

Ask PopNx