Otel Analyzer

MCP server for analyzing OpenTelemetry traces with performance and error diagnosis.

Features

• Load traces from files, strings, AWS X-Ray, or CloudWatch GenAI observability
• Auto-detect format (OTLP JSON, Jaeger, Protobuf, X-Ray)
• Performance analysis: latency breakdown, slow spans, critical path
• Error analysis: error detection, exception extraction, context
• GenAI trace analysis: Bedrock AgentCore, token usage, model latency
• MCP sampling for LLM-assisted deep analysis

Installation

uv tool install otel-analyzer-mcp

Or for development:

uv sync

Usage

Run the server:

otel-analyzer-mcp

Or add to your MCP client config:

{
  "mcpServers": {
    "otel-analyzer-mcp": {
      "command": "otel-analyzer-mcp"
    }
  }
}

Tools

Tool	Description
load_trace	Load from file, JSON, X-Ray trace ID, or CloudWatch
search_xray	Search X-Ray with filter expressions
search_genai_traces	Search CloudWatch aws/spans for GenAI traces
list_traces	List all loaded traces
analyze_perf	Performance analysis (latency, slow spans, critical path)
analyze_errs	Error analysis (errors, exceptions, context)
summarize_trace	High-level trace overview
deep_analyze	LLM-assisted analysis via MCP sampling

Examples

Load a trace file:

load_trace(path="/path/to/trace.json")

Search X-Ray:

search_xray(filter_expression='service("my-api") AND responseTime > 5', region="us-east-1")

Search GenAI traces:

search_genai_traces(filter_query='name like /bedrock/', region="us-east-1")

Load from CloudWatch:

load_trace(trace_id="abc123", source="cloudwatch", region="us-east-1")

Analyze performance:

analyze_perf(trace_id="abc123")

License

MIT