Pisama MCP Serverofficial
A
licenseNot graded
qualityA
maintenanceEnables analysis of AI agent traces to detect and fix failures using heuristic detectors, with no LLM calls required.
225 PyPI
1
MIT
agent-trace-intelligence
by harinarayn
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TDQS
A3.5/5.0
Scored across 3 tools
Disambiguation4/5
The tools are largely distinct: judge_trace provides an overall verdict, trace_breakdown offers step-by-step scoring, and efficiency_score focuses on efficiency metrics. However, judge_trace and trace_breakdown both provide performance scores, which could cause some confusion about which to use for a given task.
Naming Consistency2/5
The naming pattern is inconsistent: judge_trace follows a verb_noun convention while trace_breakdown and efficiency_score use noun_noun. Although all names use snake_case, the lack of a consistent pattern makes it harder to predict tool names.
Tool Count5/5
With only three tools, the server is well-scoped for its niche purpose of agent trace analysis. Each tool addresses a distinct aspect (overall judgment, detailed breakdown, and efficiency), so none feels redundant.
Completeness4/5
The server covers the core analysis lifecycle: holistic diagnosis, step-by-step scoring, and efficiency measurement. Minor gaps exist, such as the lack of tools for comparing multiple traces or retrieving raw trace data, but these are not critical to the primary function.
Maintenance
ActivityInactive
ResponsivenessNo issues