uptime-agent-mcp

🚀 Uptime Agent MCP Server

Connect your Uptime Agent monitoring system directly to AI assistants like Claude through the Model Context Protocol (MCP).

✨ Features

• Real-time Monitoring Access: Allow AI assistants to check your system's uptime status
• Incident Management: View and analyze downtime incidents through natural conversation
• Monitor Creation: Set up new monitoring endpoints with simple voice or text commands
• Secure Integration: Enterprise-grade security for your monitoring infrastructure

🔍 What is Uptime Agent?

Uptime Agent is a powerful monitoring solution that tracks your websites and API endpoints, alerting you when they go down. This MCP server extends Uptime Agent's capabilities by letting you interact with your monitoring system through AI assistants.

🛠️ Installation

Prerequisites

• Node.js 18 or higher
• An active Uptime Agent account
• Your Uptime Agent API key

To obtain your Uptime Agent API key:

1. Log in to your Uptime Agent Dashboard
2. Navigate to Account → API Keys
3. Create a new API key with appropriate permissions
4. Copy the generated key for use with the MCP server

Option 1: Quick Install via NPM (Recommended)

The fastest way to get started is with our setup command:

npx uptime-agent-mcp setup

This command will:

• Install the MCP server
• Configure it for use with Claude Desktop
• Prompt you for your Uptime Agent API key
• Set up all necessary configurations automatically

Option 2: Install via Smithery.ai

To install using Smithery.ai:

1. Create an account at smithery.ai
2. Get your personal key from your Smithery account
3. Run the following command:

npx -y @smithery/cli@latest install @AVIMBU/uptime_agent_mcp --client claude --key <personal_key>

Replace <personal_key> with your actual Smithery personal key.

Option 3: Manual Local Installation

For advanced users who want more control:

# Clone the repository
git clone https://github.com/AVIMBU/uptime_agent_mcp.git
cd uptime_agent_mcp

# Install dependencies
npm install

# Build the project
npm run build

Configure with your API key by creating a .env file:

UPTIME_API_KEY=your-api-key-here
PORT=3000  # Optional, defaults to 3000

Start the server:

npm start
# or directly with
node dist/index.js

🤖 AI Assistant Integration

Setting Up with Claude Desktop

After installing using one of the methods above, your MCP server is automatically configured for Claude Desktop.

If you installed manually, add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "uptime-agent": {
      "command": "npx",
      "args": [
        "-y",
        "uptime-agent-mcp"
      ],
      "env": {
        "UPTIME_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Alternatively, you can use Docker:

{
  "mcpServers": {
    "uptime-agent": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "UPTIME_API_KEY",
        "uptime-agent-mcp"
      ],
      "env": {
        "UPTIME_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Example Conversations

Checking Monitors:

"Claude, show me all my active uptime monitors."

Creating a New Monitor:

"Please create a new monitor for our API endpoint at https://api.mycompany.com/v2/health"

Analyzing Incidents:

"What incidents happened on our production servers last week, and what was the average downtime?"

📊 Available Functions

Monitor Operations

Function	Description	Parameters
listMonitors	Get a complete list of all monitoring endpoints	None required
getMonitor	Retrieve detailed information about a specific monitor	id: Monitor identifier
createMonitor	Set up a new endpoint to monitor	name: Monitor name url: URL to monitor tracking_type: Type of monitoring (http, ping, etc.) check_frequency: Check interval in seconds

Incident Management

Function	Description	Parameters
listIncidents	View all detected downtime incidents	None required
getIncident	Get detailed information about a specific incident	id: Incident identifier
listIncidentsByMonitor	See all incidents for a particular endpoint	monitor_id: Monitor identifier

Public Tracking

Function	Description	Parameters
createAnonymousTracking	Create public tracking without authentication	url: URL to monitor name: (Optional) Name for the tracking

Integration with Slack (Coming Soon)

Function	Description	Parameters
slack_get_users	List all users in connected Slack workspace	limit: Max number of users cursor: Pagination cursor
slack_post_message	Post notifications to Slack	channel_id: Channel to post to text: Message content

🐳 Docker Deployment

We provide Docker support for easy deployment:

# Build the Docker image
docker build -t uptime-agent-mcp .

# Run the container
docker run -p 3000:3000 -e UPTIME_API_KEY=your-api-key uptime-agent-mcp

📬 Support

If you have questions or need assistance:

• Open an issue on GitHub
• Contact us through our website: AVIMBU

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

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Developed with ❤️ by AVIMBU