appsignals-mcp
AWS Application Signals
Documentation
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
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_SECRET_ACCESS_KEY": ""
},
"timeout": 60000
}
}
}Development
uv pip install -e .Frequently asked questions
What is appsignals-mcp?
appsignals-mcp is AWS Application Signals
How do I install appsignals-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is appsignals-mcp open source?
Yes — it is hosted on GitHub at https://github.com/mxiamxia/appsignals-mcp.
Related MCP tools
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
Automate browser based workflows with AI
Hindsight: Agent Memory That Learns
A privacy-first app that strips AI watermarks from content you own.
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP