- AppSignal MCP Server
AppSignal MCP Server
Content
AppSignal MCP Server
A Model Context Protocol (MCP) server that provides integration with AppSignal monitoring and APM tools. This server allows AI assistants to fetch metrics, analyze performance, investigate errors, and generate reports from your AppSignal-monitored applications.
Features
Tools
- list_applications - List all configured AppSignal applications
- get_metrics - Fetch performance metrics with customizable timeframes and fields
- get_samples - Retrieve error and performance samples with filtering
- get_sample_details - Get detailed information about specific samples
Resources
- Application listings and information
- Available metrics documentation
- Per-application resource endpoints
Prompts
- analyze_performance - Guided performance analysis workflow
- investigate_errors - Structured error investigation
- performance_report - Comprehensive performance reporting
Installation
- Clone this repository:
git clone <repository-url>
cd appsignal-mcp-server-2
- Install dependencies:
npm install
- Create a
.envfile based on.env.example:
cp .env.example .env
- Configure your AppSignal credentials in
.env:
APPSIGNAL_API_TOKEN=your_personal_api_token
APPSIGNAL_APP_IDS=app_id_1,app_id_2
APPSIGNAL_APP_NAMES=Production,Staging
Getting Your AppSignal API Token
- Log in to your AppSignal account
- Go to Personal Settings
- Find your personal API token
- Copy it to your
.envfile
Finding Application IDs
- Open your application in AppSignal
- Look at the URL:
https://appsignal.com/your-org/sites/YOUR_APP_ID - Copy the application ID from the URL
Usage
With Claude Desktop
Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"appsignal": {
"command": "node",
"args": ["/path/to/appsignal-mcp-server-2/dist/index.js"],
"env": {
"APPSIGNAL_API_TOKEN": "your_token",
"APPSIGNAL_APP_IDS": "app_id_1,app_id_2",
"APPSIGNAL_APP_NAMES": "Production,Staging"
}
}
}
}
With Other MCP Clients
Build and run the server:
npm run build
npm start
Development
Run in development mode with auto-reload:
npm run dev
Example Queries
Once connected to an MCP client, you can ask questions like:
- "What's the average response time for my production app over the last 24 hours?"
- "Show me the most recent errors in the staging environment"
- "Which endpoints are the slowest in my application?"
- "Generate a performance report for the last week"
- "Investigate NoMethodError exceptions from today"
Tool Examples
List Applications
list_applications()
Get Metrics
get_metrics({
"appId": "your_app_id",
"timeframe": "day",
"fields": ["mean", "count"],
"actionName": "BlogPostsController#show"
})
Get Error Samples
get_samples({
"appId": "your_app_id",
"type": "errors",
"exception": "NoMethodError",
"limit": 20
})
Get Sample Details
get_sample_details({
"appId": "your_app_id",
"sampleId": "sample_id_here"
})
Troubleshooting
Common Issues
- Authentication Error: Ensure your API token is correct and has the necessary permissions
- Application Not Found: Verify the application ID is correct
- No Data Returned: Check that your application has data for the requested timeframe
Debug Mode
Set the DEBUG environment variable for more verbose logging:
DEBUG=* npm start
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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