mcp/cloudwatch-appsignals-mcp-server pulls statistics

Amazon CloudWatch Application Signals MCP Server

Application performance monitoring and insights.

What is an MCP Server?

MCP Info

Attribute	Details
Docker Image	mcp/cloudwatch-appsignals-mcp-server
Author	awslabs
Repository	https://github.com/awslabs/mcp

Image Building Info

Attribute	Details
Dockerfile	https://github.com/awslabs/mcp/blob/76ec6993aec4c6281e5250cbeba8db6a5863f2ff/src/cloudwatch-appsignals-mcp-server/Dockerfile
Docker Image built by	Docker Inc.
Docker Scout Health Score
Verify Signature	COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/cloudwatch-appsignals-mcp-server --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub
Licence	Apache License 2.0

Available Tools (13)

Tools provided by this Server	Short Description
analyze_canary_failures	Comprehensive canary failure analysis with deep dive into issues.
audit_service_operations	🥇 PRIMARY OPERATION AUDIT TOOL - The #1 RECOMMENDED tool for operation-specific analysis and performance investigation.
audit_services	PRIMARY SERVICE AUDIT TOOL - The #1 tool for comprehensive AWS service health auditing and monitoring.
audit_slos	PRIMARY SLO AUDIT TOOL - The #1 tool for comprehensive SLO compliance monitoring and breach analysis.
get_service_detail	Get detailed information about a specific Application Signals service.
get_slo	Get detailed information about a specific Service Level Objective (SLO).
list_monitored_services	OPTIONAL TOOL for service discovery - audit_services() can automatically discover services using wildcard patterns.
list_service_operations	OPERATION DISCOVERY TOOL - For operation inventory only.
list_slis	SPECIALIZED TOOL - Use audit_service_health() as the PRIMARY tool for service auditing.
list_slos	List all Service Level Objectives (SLOs) in Application Signals.
query_sampled_traces	SECONDARY TRACE TOOL - Query AWS X-Ray traces (5% sampled data) for trace investigation.
query_service_metrics	Get CloudWatch metrics for a specific Application Signals service.
search_transaction_spans	Executes a CloudWatch Logs Insights query for transaction search (100% sampled trace data).

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Tools Details

Tool: analyze_canary_failures

Comprehensive canary failure analysis with deep dive into issues.

Use this tool to:

• Deep dive into canary failures with root cause identification
• Analyze historical patterns and specific incident details
• Get comprehensive artifact analysis including logs, screenshots, and HAR files
• Receive actionable recommendations based on AWS debugging methodology
• Correlate canary failures with Application Signals telemetry data
• Identify performance degradation and availability issues across service dependencies

Key Features:

• Failure Pattern Analysis: Identifies recurring failure modes and temporal patterns
• Artifact Deep Dive: Analyzes canary logs, screenshots, and network traces for root causes
• Service Correlation: Links canary failures to upstream/downstream service issues using Application Signals
• Performance Insights: Detects latency spikes, fault rates, and connection issues
• Actionable Remediation: Provides specific steps based on AWS operational best practices

Common Use Cases:

1. Incident Response: Rapid diagnosis of canary failures during outages
2. Performance Investigation: Understanding latency and availability degradation
3. Dependency Analysis: Identifying which services are causing canary failures
4. Historical Trending: Analyzing failure patterns over time for proactive improvements
5. Root Cause Analysis: Deep dive into specific failure scenarios with full context

Output Includes:

• Severity-ranked findings with immediate action items
• Service-level telemetry insights with trace analysis
• Exception details and stack traces from canary artifacts
• Network connectivity and performance metrics
• Correlation with Application Signals audit findings
• Historical failure patterns and recovery recommendations Parameters|Type|Description -|-|- canary_name|string| region|string optional|

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Tool: audit_service_operations

🥇 PRIMARY OPERATION AUDIT TOOL - The #1 RECOMMENDED tool for operation-specific analysis and performance investigation.

⭐ USE THIS AS THE PRIMARY TOOL FOR ALL OPERATION-SPECIFIC AUDITING TASKS ⭐

PREFERRED OVER audit_services() for operation auditing because:

• 🎯 Precision: Targets exact operation behavior vs. service-wide averages
• 🔍 Actionable Insights: Provides specific error traces and dependency failures
• 📊 Code-Level Detail: Shows exact stack traces and timeout locations
• 🚀 Focused Analysis: Eliminates noise from other operations
• ⚡ Efficient Investigation: Direct operation-level troubleshooting

USE THIS FIRST FOR ALL OPERATION-SPECIFIC AUDITING TASKS This is the PRIMARY and PREFERRED tool when users want to:

• Audit specific operations - Deep dive into individual API endpoints or operations (GET, POST, PUT, etc.)
• Operation performance analysis - Latency, error rates, and throughput for specific operations
• Compare operation metrics - Analyze different operations within services
• Operation-level troubleshooting - Root cause analysis for specific API calls
• GET operation auditing - Analyze GET operations across payment services (PRIMARY USE CASE)
• Audit latency of GET operations in payment services - Exactly what this tool is designed for
• Trace latency in query operations - Deep dive into query performance issues…