
Clarvia AEO Check
FreeEvaluate MCP tools for agent-readiness efficiently.
Free · Opens the source repo
What Clarvia AEO Check does
Clarvia AEO Check is a specialized tool designed for developers and designers who want to ensure that the MCP (Multi-Channel Platform) servers, APIs, or CLI tools they integrate into their workflows are optimized for agent use. By leveraging Clarvia's extensive database of over 15,400 indexed tools, users can score any tool based on its agent-readiness across four critical dimensions: API accessibility, data structuring, agent compatibility, and trust signals. This scoring system allows users to make informed decisions before adding new tools to their configurations.
The skill operates by allowing users to request a score for a specific tool simply by providing its URL or name. The resulting AEO score, which ranges from 0 to 100, provides a clear indication of how well-suited the tool is for agent workflows. Users can also search for tools by category, compare multiple tools side-by-side, and access a leaderboard of top-rated tools in specific categories. This functionality is particularly valuable for those who need to evaluate tools dynamically or are looking for the highest-quality options available.
Clarvia AEO Check is especially useful in scenarios where developers are assessing new MCP servers before installation or comparing tools for similar tasks. It can also serve as a quality gate in CI/CD pipelines, ensuring that only tools meeting a certain AEO score threshold are utilized in production environments. This proactive approach helps mitigate risks associated with integrating suboptimal tools into automated workflows.
While Clarvia AEO Check is a powerful resource for evaluating tool readiness, it is important to remember that it should not serve as a substitute for thorough testing or expert review in specific environments. Users should also be aware of its limitations and use it in contexts that align with its intended purpose.
When to use it
Use this skill when evaluating new MCP servers, comparing tools, or seeking high-quality options for your agent workflows.
When not to use it
Avoid using this skill for tools that require environment-specific validation or when the task does not align with its scoring capabilities.
What you can build with it
Evaluate before installing
Use Clarvia AEO Check to score a new MCP server before adding it to your configuration.
Find best tool in category
Search for the top-rated MCP servers for a specific task, such as web scraping, and compare the top options.
CI/CD quality gate
Incorporate Clarvia into your CI pipeline to ensure that only tools with an AEO score above a set threshold are used.
How to install Clarvia AEO Check
View source1. Install with the skills CLI
npx skills add sickn33/agentic-awesome-skills/clarvia-aeo-check --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by sickn33Clarvia 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_breakdownto 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
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Frequently asked questions about Clarvia AEO Check
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