Agentready MCP server

Agentready is an MCP server with 7 tools an agent can call, among them audit_openapi_readiness, check_crawler_access, get_fix_pack. It answers at https://www.agentready.me/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 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.

Status

Answering

Tools

Reliability

6 of 6 checks

Response time

902 ms

Transport

streamable HTTP

Last checked

22 October 2026

Scan any public site for AI-agent visibility; get scored findings, a machine-readable fix pack, and

Description as the publisher wrote it.

The 7 tools Agentready offers

Tool	What it does
`audit_openapi_readiness`	Statically inspect an OpenAPI 3.0 or 3.1 JSON object or JSON string for operation identity, auth and scopes, errors, examples, retries, limits, lifecycle, pagination, and workflows. No API operation is executed. Inputs: document
`check_crawler_access`	Fetch robots.txt and a bounded public page through validated redirects, then inspect named-token path rules, final delivery, X-Robots-Tag, and HTML meta robots. Named-bot edge/WAF treatment remains unobservable. Inputs: url
`get_fix_pack`	Scan a public URL and return Fix Pack v2: prioritized fixes with stable ids, observed evidence, candidate target URLs and repository paths, review gates, and fix-specific acceptance assertions for a coding agent. Inputs: url
`get_public_report`	Read the latest saved public scan report or bounded history using its opaque report id. Reports are only created after explicit opt-in and expire after 30 days. Inputs: report_id, history
`scan_url`	Run an AgentReady scan of a public URL. Returns the 0-100 score, per-phase findings, top priorities, and the Fix Pack v2 implementation contract. Repository paths remain candidate targets until a connected-repository resolver proves them. Inputs: url, publish_report
`validate_a2a_agent_card`	Statically validate an A2A Agent Card JSON object. Strict-current evidence and legacy interoperability are reported separately; no agent endpoint or skill is invoked. Inputs: card
`verify_fixes`	Re-scan a public URL and evaluate fix-specific stable ids from a previous v1 or v2 Fix Pack. A fix closes when its finding id is absent; score delta is secondary evidence only. Inputs: url, previous_fix_pack

Add Agentready to your AI client

Every block below points at https://www.agentready.me/api/mcp. Pick your client and copy.

Claude Code: one command in your terminal

claude mcp add --transport http agentready https://www.agentready.me/api/mcp

Claude Desktop: claude_desktop_config.json

{
  "mcpServers": {
    "agentready": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://www.agentready.me/api/mcp"]
    }
  }
}

Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project

{
  "mcpServers": {
    "agentready": {
      "url": "https://www.agentready.me/api/mcp"
    }
  }
}

VS Code and GitHub Copilot: .vscode/mcp.json

{
  "servers": {
    "agentready": {
      "type": "http",
      "url": "https://www.agentready.me/api/mcp"
    }
  }
}

Zed: Zed settings.json

{
  "context_servers": {
    "agentready": {
      "url": "https://www.agentready.me/api/mcp"
    }
  }
}

Windsurf: ~/.codeium/mcp_config.json

{
  "mcpServers": {
    "agentready": {
      "serverUrl": "https://www.agentready.me/api/mcp"
    }
  }
}

JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON

{
  "mcpServers": {
    "agentready": {
      "url": "https://www.agentready.me/api/mcp"
    }
  }
}

Continue: .continue/mcpServers/neuronto.yaml

name: Agentready
version: 0.0.1
schema: v1
mcpServers:
  - name: Agentready
    type: streamable-http
    url: https://www.agentready.me/api/mcp

Gemini CLI: ~/.gemini/settings.json

{
  "mcpServers": {
    "agentready": {
      "httpUrl": "https://www.agentready.me/api/mcp"
    }
  }
}

Codex CLI: MCP server config

{
  "mcpServers": {
    "agentready": {
      "type": "http",
      "url": "https://www.agentready.me/api/mcp"
    }
  }
}

Warp: MCP servers, + Add, paste JSON

{
  "mcpServers": {
    "agentready": {
      "url": "https://www.agentready.me/api/mcp"
    }
  }
}

Goose: a one-click extension link

goose://extension?url=https%3A%2F%2Fwww.agentready.me%2Fapi%2Fmcp&type=streamable_http&id=agentready&name=Agentready

Is Agentready up right now?

It answered our last check on 22 October 2026 in 902 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.

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Questions about Agentready

How many tools does Agentready have?

7, as returned by the server's own tools/list on 17 September 2026: audit_openapi_readiness, check_crawler_access, get_fix_pack, get_public_report, scan_url, validate_a2a_agent_card, verify_fixes.

Is Agentready down?

It answered our last check on 22 October 2026 in 902 ms. Over 6 checks since 11 September 2026 it answered 6.

How do I add Agentready to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://www.agentready.me/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.

Does Agentready need an API key?

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.

Where this comes from

Publisher: io.github.msanchezgrice. Endpoint host: www.agentready.me. ARD identifier: urn:air:io.github.msanchezgrice:mcp:agentready. First indexed 10 September 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.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.