From antigravity-awesome-skills
Score any MCP server, API, or CLI for agent-readiness using Clarvia AEO (Agent Experience Optimization). Search 15,400+ indexed tools before adding them to your workflow.
npx claudepluginhub mit-network/antigravity-awesome-skillsThis skill uses the workspace's default tool permissions.
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.
Mandates invoking relevant skills via tools before any response in coding sessions. Covers access, priorities, and adaptations for Claude Code, Copilot CLI, Gemini CLI.
Share bugs, ideas, or general feedback.
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.
Add Clarvia MCP server to your config:
{
"mcpServers": {
"clarvia": {
"command": "npx",
"args": ["-y", "clarvia-mcp-server"]
}
}
}
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.
Find the top-rated database MCP servers using Clarvia
Returns ranked results from 15,400+ indexed tools.
Compare supabase-mcp vs firebase-mcp using Clarvia
Returns side-by-side score breakdown with a recommendation.
Show me the top 10 MCP servers for authentication using Clarvia
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.
I need an MCP server for web scraping. Use Clarvia to find the
top-rated options and compare the top 3.
Add to your CI pipeline using the GitHub Action:
- uses: clarvia-project/clarvia-action@v1
with:
url: https://your-api.com
fail-under: 70
| 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 |
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
@mcp-builder - Build a new MCP server that scores well on AEO@agent-evaluation - Broader agent quality evaluation framework