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Observability

11 connectors in this collection

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Agent Error Propagation Tracker

Agent Error Propagation Tracker MCP

3 tools Official

Trace error chains and calculate system impact in multi-agent environments.

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Agent Self-Reflection & Sentiment Scanner

Agent Self-Reflection & Sentiment Scanner MCP

2 tools

Quantify agent self-correction behavior and sentiment by scanning execution logs for specific error and success markers.

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Agent Self-Reflection Sentiment Scanner

Agent Self-Reflection Sentiment Scanner MCP

3 tools Official

Analyzes agent execution logs to detect self-correction markers and measure stability.

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Agent Self-Reflection & Sentiment Scanner

Agent Self-Reflection & Sentiment Scanner MCP

2 tools

Quantify agent self-correction behavior and sentiment by scanning execution logs for specific error and success markers.

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Context Cache Invalidation Detector

Context Cache Invalidation Detector MCP

3 tools Official

Detects context loss and reasoning drift caused by aggressive prompt caching.

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Execution Trace Recorder and Validator

Execution Trace Recorder and Validator MCP

3 tools Official

Records and validates agent execution traces to ensure integrity, determinism, and performance.

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OpenTelemetry Trace Context Extractor

OpenTelemetry Trace Context Extractor MCP

1 tools

Extracts W3C TraceContext fields from HTTP headers.

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OpenTelemetry Trace Latency Analyzer

OpenTelemetry Trace Latency Analyzer MCP

3 tools Official

Analyze OpenTelemetry traces to identify latency bottlenecks and critical path inefficiencies.

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OpenTelemetry TraceContext Validator

OpenTelemetry TraceContext Validator MCP

3 tools Official

Validates W3C TraceContext and OpenTelemetry headers for distributed agent tracing.

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OpenTelemetry TraceContext Validator

OpenTelemetry TraceContext Validator MCP

3 tools Official

Validates W3C TraceContext and OpenTelemetry headers for distributed agent tracing.

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Performance Regression Detector

Performance Regression Detector MCP

3 tools Official

Detects performance regressions and predicts execution time failures in LLM workflows.

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