AppSignal MCP
Integrate with the AppSignal monitoring API to query and fetch error and performance data.
AppSignal MCP
A Model Context Protocol (MCP) server for AppSignal monitoring API integration. This server allows AI assistants to directly query and fetch error and performance data from AppSignal through the MCP protocol.
Features
- Fetch details about specific error or performance samples
- Search for errors, performance samples, or both with flexible filters
- Integration with AppSignal's Error and Performance Monitoring APIs
Prerequisites
- Bun runtime
- AppSignal account and API token
- Application ID from your AppSignal dashboard
Installation
# Clone the repository
git clone https://github.com/pauldub/appsignal-mcp.git
cd appsignal-mcp
# Install dependencies
bun install
Configuration
Create a .env file in the root directory with your AppSignal credentials:
# Server configuration
PORT=3000
LOG_LEVEL=info
# AppSignal configuration
APPSIGNAL_API_TOKEN=your-api-token
Usage
Starting the Server
# Run the server
bun start
# Development mode with auto-reload
bun dev
# Run tests
bun test
# Build a standalone executable
bun run build
CLI Options
appsignal-mcp --appsignal-api-token your-token
Available options:
--appsignal-api-token <token>- AppSignal API token--log-level <level>- Logging level (debug, info, warn, error)--port <port>- Server port number
MCP Tools
1. get_sample
Gets details about a specific sample by ID (error or performance).
Parameters:
sampleId(string, required): The AppSignal sample IDappId(string, required): The AppSignal application ID
2. search_samples
Searches for samples in an application with optional filters.
Parameters:
appId(string, required): The AppSignal application IDsample_type(string, optional): Type of samples to search - "all", "errors", or "performance" (defaults to "errors")exception(string, optional): Filter by exception name (e.g., "NoMethodError") - only applicable for error samplesaction_id(string, optional): Filter by action name (e.g., "BlogPostsController-hash-show")since(string/number, optional): Start timestamp in UTC (timestamp or ISO format)before(string/number, optional): End timestamp in UTC (timestamp or ISO format)limit(number, optional): Maximum number of samples to return (defaults to 10)count_only(boolean, optional): Only return the count, not the samples
Claude Integration
To use this MCP server with Claude, create a .mcp.json file in your Claude Code workspace:
{
"mcpServers": {
"appsignal-mcp": {
"type": "stdio",
"command": "bun",
"args": [
"run",
"start"
],
"env": {
"APPSIGNAL_API_TOKEN": "your-api-token"
}
}
}
}
License
MIT
Related Servers
Sionic AI Serverless RAG
Integrates LLM applications with RAG data sources and tools using the Model Context Protocol.
Python Notebook MCP
Enables AI assistants to interact with local Jupyter notebooks (.ipynb).
Sleep MCP Server
Pauses the execution of an agent for a specified duration.
Dieter Rams
Evaluates product designs against Dieter Rams' 10 principles of good design.
Language Server
MCP Language Server gives MCP enabled clients access to semantic tools like get definition, references, rename, and diagnostics.
Verilator MCP Server
An MCP server for Verilator providing RTL simulation, automatic testbench generation, and natural language query capabilities.
EndOfLife.date
Get end-of-life dates and support cycle information for various software products.
VectorMCP
A Ruby gem for building Model Context Protocol (MCP) servers to expose tools, resources, and prompts to LLM clients.
MCP Talk Demo Files
A collection of demo files for MCP servers and clients, illustrating various transport protocols and server capabilities using Python.
PyVista MCP Server
An MCP server for 3D visualization and data analysis using the PyVista library.