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.
This server provides the following tools to interact with AWS Application Signals:
-
list_application_signals_services- Lists all services monitored by AWS Application Signals -
get_service_details- Gets comprehensive information about a specific service -
get_service_metrics- Queries CloudWatch metrics for a specific service -
get_sli_status- Monitors SLI (Service Level Indicator) status and SLO compliance across all services -
get_service_level_objective- Retrieves detailed configuration for a specific SLO -
query_xray_traces- Queries AWS X-Ray traces for distributed tracing analysis
- AWS credentials configured (via
aws configureor environment variables) - Claude Desktop app installed
uvpackage manager installed (installation guide)- Note:
uvxis included withuvinstallation
- Note:
You can install this MCP server in Claude Desktop using either method:
Add this configuration to your Claude Desktop settings:
{
"mcpServers": {
"appsignals": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/mxiamxia/appsignals-mcp.git",
"mcp-server-appsignals"
]
}
}
}- 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 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:
{
"mcpServers": {
"appsignals": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/mxiamxia/appsignals-mcp.git",
"mcp-server-appsignals"
],
"env": {
"AWS_ACCESS_KEY_ID": "<aws_access_key>",
"AWS_SECRET_ACCESS_KEY": "<aws_secret_access_key>"
},
"timeout": 60000
}
}
}
uv pip install -e .