# AIReady MCP Server

> Use this tool when you need to assess and improve AI readiness in projects, leveraging analysis tools and resources to identify areas for enhancement. It solves problems related to AI adoption and optimization, providing inputs such as project data and outputs like readiness assessments and remediation plans. Ideal for use cases where AI agents require evaluation and improvement of AI leverage in various projects and initiatives.

Canonical page: https://skillsregistry.net/skills/getaiready-aiready-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/getaiready-aiready-mcp-server

## Description

Enables AI agents to assess AI-readiness and improve AI leverage through analysis tools, resources, and prompts for project scanning and remediation.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ey2w41c4qx)
- **Repository:** <https://github.com/getaiready/aiready-mcp-server>

## 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": "getaiready-aiready-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/getaiready-aiready-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/getaiready-aiready-mcp-server/pull`

---
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