A
licenseA
qualityA
maintenanceMCP server exposing AI agent observability tools: list, inspect, and deterministically replay recorded agent execution traces for debugging failures.
1
75 PyPI
Apache 2.0
@agent-audit/mcp-server
by xueca
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TDQS
A3.5/5.0
Scored across 5 tools
Disambiguation5/5
Each tool has a uniquely identifiable role in the audit lifecycle: starting traces, recording events, ending traces, querying trails, and exporting reports. There is no overlap in their purposes.
Naming Consistency5/5
All tool names follow the consistent pattern 'audit_<verb>_<noun>' (e.g., audit_start_trace, audit_record_event). The naming is uniform and predictable.
Tool Count5/5
With 5 tools, the server is well-scoped for audit management. Each tool is necessary and sufficient, covering the lifecycle without unnecessary additions.
Completeness5/5
The tool surface fully covers the core audit workflow: start, record, end, retrieve, and export. Since audit trails are typically immutable, the absence of update/delete operations is appropriate and not a gap.
Maintenance
ActivitySlowing
ResponsivenessNo issues