Clarvia AEO Score for mcp-playwright
Clarvia just scanned mcp-playwright and found an AEO score of 32/100 (Grade D — Basic).
What is AEO?
Agent Experience Optimization measures how well an MCP server works in autonomous agent workflows. Low scores mean agents have trouble discovering, calling, or relying on your server.
Top improvement opportunities:
- Missing
/.well-known/mcp.json (server discovery manifest)
- No structured schema for return values
- Missing
retry-after headers for error responses
- No agent-readable changelog
Add the badge to your README:
[](https://clarvia.art/tool/playwright-executeautomation)
The badge auto-updates as scores improve. See full report →
This is an automated quality check from Clarvia — the AEO standard for MCP servers. No action required — just sharing the data.
Clarvia AEO Score for mcp-playwright
Clarvia just scanned mcp-playwright and found an AEO score of 32/100 (Grade D — Basic).
What is AEO?
Agent Experience Optimization measures how well an MCP server works in autonomous agent workflows. Low scores mean agents have trouble discovering, calling, or relying on your server.
Top improvement opportunities:
/.well-known/mcp.json(server discovery manifest)retry-afterheaders for error responsesAdd the badge to your README:
The badge auto-updates as scores improve. See full report →
This is an automated quality check from Clarvia — the AEO standard for MCP servers. No action required — just sharing the data.