# ASO Score MCP

> Use this tool when you need to evaluate and improve a website's compatibility with AI agents, enhancing discoverability, trust, and interoperability. The ASO Score MCP scans websites and generates a comprehensive report across 34 signals, providing actionable insights for optimization. Ideal for use cases where seamless AI agent interaction is crucial, such as e-commerce, customer service, and content discovery platforms.

Canonical page: https://skillsregistry.net/skills/forgemeshlabs-aso-score-mcp  
JSON: https://api.skillsregistry.net/v1/skills/forgemeshlabs-aso-score-mcp

## Description

Scans websites to evaluate agent-readiness and produce an ASO Score Report across 34 signals, helping improve discoverability, trust, and interoperability for AI agents.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kssf7faekl)
- **Repository:** <https://github.com/forgemeshlabs/aso-score-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": "forgemeshlabs-aso-score-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/forgemeshlabs-aso-score-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/forgemeshlabs-aso-score-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