clarvia-aeo-check

name	clarvia-aeo-check
description	"Use when evaluating a new MCP server before adding it to your config"

Clarvia AEO Check

Overview

Before adding any MCP server, API, or CLI tool to your agent workflow, use Clarvia to score its agent-readiness. Clarvia evaluates 15,400+ AI tools across four AEO dimensions: API accessibility, data structuring, agent compatibility, and trust signals.

Prerequisites

Add Clarvia MCP server to your config:

{
  "mcpServers": {
    "clarvia": {
      "command": "npx",
      "args": ["-y", "clarvia-mcp-server"]
    }
  }
}

When to Use This Skill

• Use when evaluating a new MCP server before adding it to your config
• Use when comparing two tools for the same job
• Use when building an agent that selects tools dynamically
• Use when you want to find the highest-quality tool in a category

How It Works

Step 1: Score a specific tool

Ask Claude to score any tool by URL or name:

Score https://github.com/example/my-mcp-server for agent-readiness

Clarvia returns a 0-100 AEO score with breakdown across four dimensions.

Step 2: Search tools by category

Find the top-rated database MCP servers using Clarvia

Returns ranked results from 15,400+ indexed tools.

Step 3: Compare tools head-to-head

Compare supabase-mcp vs firebase-mcp using Clarvia

Returns side-by-side score breakdown with a recommendation.

Step 4: Check leaderboard

Show me the top 10 MCP servers for authentication using Clarvia

Examples

Example 1: Evaluate before installing

Before I add this MCP server to my config, score it:
https://github.com/example/new-tool

Use the clarvia aeo_score tool and tell me if it's agent-ready.

Example 2: Find best tool in category

I need an MCP server for web scraping. Use Clarvia to find the 
top-rated options and compare the top 3.

Example 3: CI/CD quality gate

Add to your CI pipeline using the GitHub Action:

- uses: clarvia-project/clarvia-action@v1
  with:
    url: https://your-api.com
    fail-under: 70

AEO Score Interpretation

Score	Rating	Meaning
90-100	Agent Native	Built specifically for agent use
70-89	Agent Friendly	Works well, minor gaps
50-69	Agent Compatible	Works but needs improvement
30-49	Agent Partial	Significant limitations
0-29	Not Agent Ready	Avoid for agentic workflows

Best Practices

• ✅ Score tools before adding them to long-running agent workflows
• ✅ Use Clarvia's leaderboard to discover alternatives you haven't considered
• ✅ Re-check scores periodically — tools improve over time
• ❌ Don't skip scoring for "well-known" tools — even popular tools can score poorly
• ❌ Don't use tools scoring below 50 in production agent pipelines without understanding the limitations

Common Pitfalls

• Problem: Clarvia returns "not found" for a tool Solution: Try scanning by URL directly with aeo_score — Clarvia will score it on-demand

• Problem: Score seems low for a tool I trust Solution: Use get_score_breakdown to see which dimensions are weak and decide if they matter for your use case

Related Skills

• @mcp-builder - Build a new MCP server that scores well on AEO
• @agent-evaluation - Broader agent quality evaluation framework

Diff History

• v00.33.0: Ingested from antigravity-awesome-skills community repo

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Why This Skill Exists

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What If Fails

• condition: Modelo de ML indisponível ou não carregado