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Analyze OpenTelemetry traces to diagnose performance bottlenecks and error causes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "otel-analyzer-mcp" yet — see the docs or source repo.
Please analyze this OpenTelemetry trace file, identify the key spans causing increased API latency, show the time distribution, and suggest prioritized investigation steps.
Returns the critical call path for slow requests, high-latency spans, root-cause analysis, and optimization recommendations.
Load recent trace data from AWS X-Ray or CloudWatch, analyze the services and spans with elevated error rates, identify the most likely root cause, and summarize the impact scope.
Provides the affected services, failing call chains, likely root cause, and a summary of impact scope.
Please compare two trace datasets from different releases, describe changes in response time, error rate, and key dependency calls, and highlight any clear regressions.
Generates a comparison report with performance changes, error differences, and suspicious regression points.
Query and analyze telemetry data in natural language to find performance issues.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Connect AI coding assistants to OpenTelemetry docs, examples, and instrumentation guidance.
Perform static taint analysis on Python code to detect security vulnerabilities.
Build custom analysis MCP tools via JSON with built-in safety and quality controls.
Quickly trace code relationships and execution paths with a single AI tool call.