Agent Ready

Name: Agent Ready
Author: mlava

@mlava

关于 Agent Ready

AI agent readability scanner — score any public URL against the Vercel Agent Readability Spec, llmstxt.org, and 6 agent-protocol manifests (MCP, A2A, agents.json, agent-permissions, UCP, x402). 59 checks with per-check fix guidance. Same engine as agent-ready.dev.

#developer-tools #seo #ai-search #llms-txt #agents-md #agent-readability #scanner #validator #vercel-spec #mcp-server-card #a2a #agents-json #agent-permissions #ucp #x402 #claude #anthropic

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

mlava

提交者

Mark Lavercombe

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

Runs the agent-ready.dev scanner against a URL and returns structured results: Vercel score, llmstxt.org score, and per-check findings with remediation hints. Scans may take up to ~60s; if the local poll deadline elapses, the tool returns the scan id and asks you to poll with get_scan.

Fetches a completed or in-progress scan by its id. Only scans owned by the authenticated API key's user are returned.

概览

What is Agent Ready?

Agent Ready is an AI agent readability scanner that takes any public URL and returns a 0–100 score with per-check remediation hints. It wraps the same engine powering agent-ready.dev and lets Claude Desktop, Claude Code, Cursor, Cline, VS Code, and Windsurf run scans inline and explain results.

How to use Agent Ready?

Configure the MCP server in your client’s mcpServers setting using npx -y agent-ready-mcp@latest and set the AGENT_READY_API_KEY environment variable (Pro or Team tier required). Once connected, use the scan_site tool to run a fresh scan or get_scan to fetch a previous scan by id. Prompts like scan, interpret_scan, and remediation_plan provide plain‑English summaries and prioritized fix documentation.

Key features of Agent Ready

59 checks across 4 spec families (Vercel, llmstxt, agent‑protocol manifests).
Every failing check includes a concrete howToFix string.
Two tools: scan_site (fresh scan) and get_scan (retrieve by id).
Three prompts: scan, interpret_scan, and remediation_plan.
Ships a Claude Skill descriptor for activation routing.
Runs via npm, hosted HTTP, or on Smithery.

Use cases of Agent Ready

Evaluate your own site’s agent readability before deploying.
Review a competitor’s public URL for missing llms.txt or agent manifests.
Integrate inline scans into Claude Desktop or Cursor to get remediation hints.
Generate a prioritized fix plan focused on SEO or agent‑specific issues.
Validate that a URL satisfies the Vercel Agent Readability Spec.

FAQ from Agent Ready

What API key do I need?

Issue a Pro API key from the dashboard at agent-ready.dev/dashboard/api-keys. The MCP server requires a Pro or Team tier subscription; free‑tier scans are available through the web UI only.

What transports does Agent Ready support?

The MCP server can be run locally via npx (stdio transport) or as a hosted Streamable HTTP endpoint at https://agent-ready.dev/api/v1/mcp (Bearer authentication).

How is Agent Ready different from the web UI?

The MCP server provides programmatic access from AI clients (Claude Desktop, Cursor, etc.) and includes prompts for interpretation and remediation. The web UI offers free‑tier scans.

Does Agent Ready require an internet connection?

Yes, the server must reach agent-ready.dev to run scans. Scans are performed against public URLs you provide.

What are the 59 checks divided into?

38 checks against the Vercel Agent Readability Spec, 10 against the llmstxt.org specification, and 11 against agent‑protocol manifests (MCP Server Cards, A2A Agent Cards, agents.json, agent-permissions.json, UCP, x402 Payment Required).

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