MCP ExplorerExplorer

Appsignals Mcp

@mxiamxiaon 19 days ago
1 MIT
FreeCommunity
AI Systems
MCP server for interacting with AWS Application Signals and S3.

Overview

What is Appsignals Mcp

appsignals-mcp is an MCP server designed for interacting with AWS Application Signals and S3, facilitating the management and monitoring of application performance signals.

Use cases

Use cases for appsignals-mcp include monitoring application health in real-time, analyzing performance metrics, and managing application signals for better operational insights.

How to use

To use appsignals-mcp, install it using the command ‘uv pip install -e .’ and follow the provided documentation for configuration and usage instructions.

Key features

Key features of appsignals-mcp include seamless integration with AWS services, real-time monitoring of application signals, and support for S3 interactions.

Where to use

appsignals-mcp can be used in cloud-based applications, particularly those hosted on AWS, where monitoring and managing application performance is critical.

Content

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 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

Quick Setup

Prerequisites

  • 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

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:

{
  "mcpServers": {
    "appsignals": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/mxiamxia/appsignals-mcp.git",
        "mcp-server-appsignals"
      ]
    }
  }
}

Method 2: Local Installation

  1. Clone this repository
  2. Install dependencies (if needed):
    uv pip install -e .
    
  3. 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:

{
    "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
        }
    }
}

Development

uv pip install -e .

Tools

No tools

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