# Agent Ready

> Use this tool when you need to assess and improve the readability of online content for AI agents, as it scans public URLs and provides a 0-100 score along with remediation hints for failed checks. It solves problems related to content optimization and AI comprehension, making it easier to refine online materials. Ideal for use in development environments like Claude Desktop, VS Code, and Windsurf, where inline scans can be run to enhance content readability.

Canonical page: https://skillsregistry.net/skills/mlava-agent-ready-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mlava-agent-ready-mcp

## Description

Agent Ready is an AI agent readability scanner — point it at any public URL and get back a 0–100 score plus per-check remediation hints for every failing check. This package wraps the same engine that powers agent-ready.dev as an MCP server, so Claude Desktop, Claude Code, Cursor, Cline, VS Code, and Windsurf can run scans inline and explain the results.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zqmgebfeaa)
- **Repository:** <https://github.com/mlava/agent-ready-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mlava-agent-ready-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mlava-agent-ready-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mlava-agent-ready-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt