MCP Server for AWS Application Signals
An MCP (Model Context Protocol) server that provides tools for monitoring, analyzing, and troubleshooting AWS Application Signals services.
This server enables AI assistants to interact with AWS Application Signals to track service health, monitor SLOs (Service Level Objectives), analyze metrics, and investigate issues using distributed tracing.
Available Tools
This server provides the following tools to interact with AWS Application Signals:
list_monitored_services- Lists all services monitored by AWS Application Signalsget_service_detail- Gets the details healthy data for a specific serviceget_service_metrics- Queries CloudWatch metrics for the monitored serviceslist_slis- Monitors SLI (Service Level Indicator) status and SLO compliance across all servicesget_slo- Retrieves detailed configuration for a specific SLOquery_sampled_traces- Queries AWS X-Ray traces for distributed tracing analysissearch_transaction_spans- Queries AWS X-Ray traces data
Quick Setup
Prerequisites
AWS credentials configured (via
aws configureor environment variables)Claude Desktop app installed
uvpackage manager installed (installation guide)Note:
uvxis included withuvinstallation
Installation
You can install this MCP server in Claude Desktop using either method:
Method 1: Direct from GitHub (Recommended)
Add this configuration to your Claude Desktop settings:
Method 2: Local Installation
Clone this repository
Install dependencies (if needed):
uv pip install -e .Add to Claude Desktop configuration:
{ "mcpServers": { "appsignals": { "command": "uv", "args": [ "--directory", "/path/to/appsignals-mcp", "run", "mcp-server-appsignals" ] } } }
Amazon Q Integration
Amazon Q integration is similiar to Claude Desktop setup. First to install
Amazon Q Developer
and you will just add the following to your ~/.aws/amazonq/mcp.json file: