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jsamuel1

otel-analyzer-mcp

by jsamuel1
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{
  "tasks": {
    "list": {},
    "cancel": {},
    "requests": {
      "tools": {
        "call": {}
      },
      "prompts": {
        "get": {}
      },
      "resources": {
        "read": {}
      }
    }
  }
}

Tools

Functions exposed to the LLM to take actions

NameDescription
load_traceA

Load a trace from file, string, X-Ray, or CloudWatch. Auto-detects format.

Args: path: File path to trace JSON data: Raw JSON string trace_id: Trace ID to fetch from X-Ray or CloudWatch source: Source for trace_id lookup: 'xray' or 'cloudwatch' (default: xray) profile: AWS profile name region: AWS region

search_xrayC

Search X-Ray for traces matching filter expression.

search_genai_tracesA

Search CloudWatch aws/spans for GenAI traces from Bedrock AgentCore.

Args: filter_query: CloudWatch Logs Insights filter (e.g., 'name like /bedrock/') start_time: ISO format start time end_time: ISO format end time limit: Max results (default: 20) profile: AWS profile name region: AWS region

Returns GenAI traces with model info, token usage, and latency.

list_tracesA

List all loaded traces with summaries.

analyze_perfB

Analyze trace performance: latency breakdown, slow spans, critical path.

analyze_errsC

Analyze trace errors: error spans, exceptions, failure context.

summarize_traceD

High-level trace overview.

deep_analyzeC

Use MCP sampling for LLM-assisted trace analysis.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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