A
licenseC
qualityA
maintenanceAn MCP server that enables AI agents to autonomously test, debug, and analyze web interfaces visually using Playwright, with 30 tools for screenshots, workflows, performance, and visual comparison.
30
43 npm
83
ISC
playwright-trace-decoder-mcp
by vola-trebla
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TDQS
A3.8/5.0
Scored across 19 tools
Disambiguation4/5
Each tool targets a distinct aspect of trace analysis (metadata, actions, network, DOM, screenshots, performance, etc.), and even overlapping tools like get_screenshot_at_failure vs extract_critical_frames are differentiated by specificity and use case. The descriptions clearly state when to use which tool, reducing misselection risk.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern with snake_case (e.g., get_trace_summary, analyze_race_conditions, compare_traces). The verbs vary but the structure is uniform and predictable, making it easy to infer the function of each tool.
Tool Count3/5
With 19 tools, the set is on the heavy side, exceeding the typical 3-15 well-scoped range. The complexity of Playwright trace analysis justifies a larger surface, but the count may overwhelm agents and borders on over-specialization.
Completeness5/5
The toolset provides comprehensive coverage of trace decoding: metadata extraction, failure analysis, action timelines, network and console logs, DOM accessibility, screenshots, race condition detection, causal chain analysis, trace comparison, performance anomalies, and archive trimming. No obvious gaps exist for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessResponsive