Appsignal MCP

Integrations

Provides tools for fetching and analyzing incident data from AppSignal, including retrieving incident details, getting incident samples, listing recent incidents, and analyzing incidents to suggest potential fixes.

Appsignal MCP (Model Context Protocol)

A Model Context Protocol (MCP) server for Appsignal that allows AI assistants to fetch and analyze incident data.

Overview

This MCP server provides tools for AI assistants to:

Fetch incident details from Appsignal
Get incident samples
List recent incidents
Analyze incidents and suggest potential fixes

Prerequisites

Node.js 14.x or higher
An Appsignal account with API access
An Appsignal Personal API Token

Installation

Option 1: Install from npm (Recommended)

You can install the package globally:

npm install -g appsignal-mcp

Or run it directly with npx:

npx appsignal-mcp

Option 2: Install from Source

Clone this repository:
git clone https://github.com/c20020207/appsignal-mcp.git cd appsignal-mcp
Install dependencies:
npm install
Create a .env file with your Appsignal API token:
APPSIGNAL_API_TOKEN=your_personal_api_token APPSIGNAL_APP_ID=your_default_app_id # Optional
You can find your API token in your personal settings screen in Appsignal.

Usage

Running the MCP Server

Start the server:

npm start

For development with debug logging:

npm run dev

Integrating with AI Assistants

VS Code with Cursor

Add the following to your VS Code settings.json file:

{
  "mcp": {
    "servers": {
      "appsignal": {
        "command": "npx",
        "args": [
          "appsignal-mcp"
        ],
        "env": {
          "APPSIGNAL_API_TOKEN": "your_personal_api_token",
          "APPSIGNAL_APP_ID": "your_default_app_id"  // Optional
        }
      }
    }
  }
}

If you installed from source, use this configuration instead:

{
  "mcp": {
    "servers": {
      "appsignal": {
        "command": "node",
        "args": [
          "/path/to/appsignal-mcp/src/index.js"
        ],
        "env": {
          "APPSIGNAL_API_TOKEN": "your_personal_api_token",
          "APPSIGNAL_APP_ID": "your_default_app_id"  // Optional
        }
      }
    }
  }
}

Claude Desktop

Add the following to your Claude Desktop configuration:

{
  "mcpServers": {
    "appsignal": {
      "command": "npx",
      "args": [
        "appsignal-mcp"
      ],
      "env": {
        "APPSIGNAL_API_TOKEN": "your_personal_api_token",
        "APPSIGNAL_APP_ID": "your_default_app_id"  // Optional
      }
    }
  }
}

If you installed from source, use this configuration instead:

{
  "mcpServers": {
    "appsignal": {
      "command": "node",
      "args": [
        "/path/to/appsignal-mcp/src/index.js"
      ],
      "env": {
        "APPSIGNAL_API_TOKEN": "your_personal_api_token",
        "APPSIGNAL_APP_ID": "your_default_app_id"  // Optional
      }
    }
  }
}

Available Tools

getIncident

Get details about a specific incident.

Parameters:

appId (string, required): Appsignal application ID
incidentNumber (number, required): Incident number to fetch
sampleId (string, optional): Specific sample ID to fetch

getIncidentSamples

Get samples related to an incident.

Parameters:

appId (string, required): Appsignal application ID
incidentNumber (number, required): Incident number
limit (number, optional): Maximum number of samples to return (default: 10)

listIncidents

List recent incidents from an application.

Parameters:

appId (string, required): Appsignal application ID
limit (number, optional): Maximum number of incidents to return (default: 25)
offset (number, optional): Offset for pagination (default: 0)
state (string, optional): Filter by incident state ('open', 'closed', 'ignored')
namespaces (array, optional): Filter by namespaces
order (string, optional): Sort order ('last_occurrence', 'first_occurrence', 'count')

analyzeIncident

Analyze an incident and provide insights.

Parameters:

appId (string, required): Appsignal application ID
incidentNumber (number, required): Incident number to analyze

Example Prompts

Here are some example prompts you can use with AI assistants:

"Fetch incident #123 from Appsignal app 'abc123'"
"List the most recent open incidents from my Appsignal app"
"Analyze incident #456 and suggest potential fixes"
"Get samples for incident #789 to help debug the issue"

License

MIT

This server cannot be installed

security - not tested

license - not found

quality - not tested

A Model Context Protocol server that allows AI assistants to fetch and analyze incident data from Appsignal, including retrieving incident details, samples, listing recent incidents, and analyzing incidents to suggest fixes.

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Appsignal MCP

Appsignal MCP (Model Context Protocol)

Overview

Prerequisites

Installation

Option 1: Install from npm (Recommended)

Option 2: Install from Source

Usage

Running the MCP Server

Integrating with AI Assistants

VS Code with Cursor

Claude Desktop

Available Tools

getIncident

getIncidentSamples

listIncidents

analyzeIncident

Example Prompts

License

Related MCP Servers

Linear MCP Server

Appwrite MCP Serverofficial

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Sentry MCP Serverofficial

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MCP directory API