Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@AWS Application Signals MCP Server show me the health status of my monitored services"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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_monitored_services - Lists all services monitored by AWS Application Signals
get_service_detail - Gets the details healthy data for a specific service
get_service_metrics - Queries CloudWatch metrics for the monitored services
list_slis - Monitors SLI (Service Level Indicator) status and SLO compliance across all services
get_slo - Retrieves detailed configuration for a specific SLO
query_sampled_traces - Queries AWS X-Ray traces for distributed tracing analysis
search_transaction_spans - Queries AWS X-Ray traces data
Related MCP server: MCP Datadog Server
AWS credentials configured (via aws configure or environment variables)
Claude Desktop app installed
uv package manager installed (installation guide)
Note: uvx is included with uv installation
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 .This server cannot be deployed
The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.
AI agent run monitoring with incident replay and SLA receipts.
Connect AI assistants to Xitoring monitoring: servers, uptime, incidents, metrics, SSL, and alerts.
Discover Frontier inference capabilities and read sanitized usage through read-only tools.
