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.
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 frameworkCopy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/clarvia-aeo-check · pinned to the source commit
# Run from your project root
git clone https://github.com/sickn33/agentic-awesome-skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 5cf4dfeb13ea966daa1e117897689cd7991e3f44
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/plugins/agentic-awesome-skills-claude/skills/clarvia-aeo-check" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/sickn33/agentic-awesome-skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 5cf4dfeb13ea966daa1e117897689cd7991e3f44
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/plugins/agentic-awesome-skills-claude/skills/clarvia-aeo-check" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/clarvia-aeo-check
Scanner static-checks@0.1.0 · commit 5cf4dfeb13ea. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
No static rules matched. This is not a safety guarantee.