Skip to main content

MCP Integration

Learn how to integrate Bareuptime with MCP-compatible AI coding assistants like Cline, Claude Desktop, and other vibe-coding tools.

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely access external tools and data sources. Bareuptime provides MCP integration so your AI coding assistant can help you manage monitors directly from your development environment.

Prerequisites

  1. Generate API Key: Visit https://app.bareuptime.co/api-keys
  2. MCP-compatible AI Assistant: Such as Cline, Claude Desktop, or other MCP-enabled tools
  3. Node.js 18+ (for running the MCP server)

MCP Server Connection

Bareuptime provides a hosted MCP server at mcp.bareuptime.co, so you don't need to install or run your own server. Simply configure your AI assistant to connect to our hosted service.

Server Details

  • Host: mcp.bareuptime.co
  • Port: 443 (HTTPS)
  • Protocol: WebSocket Secure (WSS)
  • Authentication: API Key required

AI Assistant Configuration

Claude Desktop

Add the Bareuptime MCP server to your Claude Desktop configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
"mcpServers": {
"bareuptime": {
"transport": {
"type": "sse",
"url": "https://mcp.bareuptime.co/sse"
},
"env": {
"BAREUPTIME_API_KEY": "YOUR_API_KEY"
}
}
}
}

Cline (VS Code Extension)

In your Cline settings, add the MCP server:

{
"mcp": {
"servers": [
{
"name": "bareuptime",
"transport": {
"type": "sse",
"url": "https://mcp.bareuptime.co/sse"
},
"env": {
"BAREUPTIME_API_KEY": "YOUR_API_KEY"
}
}
]
}
}

Available MCP Tools

The Bareuptime MCP server provides these tools for AI assistants:

1. create_monitor

Creates a new uptime monitor.

Parameters:

  • name (required): Monitor name
  • url (required): URL to monitor
  • check_interval (optional): Check interval ("1min", "5min", "10min", "20min", "30min", "1hr", default: "5min")
  • type (optional): Monitor type ("get", "post", "put", "patch", "delete", default: "get")
  • request_body (optional): Request body for POST/PUT/PATCH requests
  • request_headers (optional): Custom HTTP headers as newline-separated string (e.g., "Authorization: Bearer token\nContent-Type: application/json")

2. list_monitors

Lists all monitors in your account.

Parameters:

  • limit (optional): Number of monitors to return (default: 50)
  • offset (optional): Number of monitors to skip (default: 0)
  • tags (optional): Filter by tags (comma-separated)

3. get_monitor

Gets details of a specific monitor.

Parameters:

  • monitor_id (required): The monitor ID

4. update_monitor

Updates an existing monitor.

Parameters:

  • monitor_id (required): The monitor ID
  • Same optional parameters as create_monitor

5. delete_monitor

Deletes a monitor.

Parameters:

  • monitor_id (required): The monitor ID

6. get_monitor_status

Gets the current status of a monitor.

Parameters:

  • monitor_id (required): The monitor ID

7. get_monitor_stats

Gets statistics for a monitor.

Parameters:

  • monitor_id (required): The monitor ID
  • period (optional): Time period ("1h", "24h", "7d", "30d", default: "24h")

Example AI Conversations

Creating a Monitor

You: "Create a monitor for my website https://mycompany.com that checks every 5 minutes"

AI Assistant: I'll create a monitor for your website that checks every 5 minutes (300 seconds). Let me set that up for you.

(AI calls create_monitor tool with appropriate parameters)

AI Assistant: ✅ Successfully created monitor "MyCompany Website" for https://mycompany.com

  • Monitor ID: mon_abc123
  • Check interval: 5 minutes
  • Monitoring locations: Iowa, Germany
  • Expected status: 200 OK

Monitoring API Health

You: "Set up monitoring for our API health endpoint with authentication"

AI Assistant: I'll create a monitor for your API health endpoint. What's the URL of your health endpoint, and what authentication headers do you need?

You: "https://api.mycompany.com/health with Bearer token abc123"

AI Assistant: Perfect! I'll set up monitoring for your API health endpoint with authentication.

(AI calls create_monitor with request_headers: "Authorization: Bearer abc123")

Bulk Monitor Management

You: "Show me all monitors tagged with 'production' and their current status"

AI Assistant: I'll get all your production monitors and check their current status.

(AI calls list_monitors filtered by 'production' tag, then gets status for each)

AI Assistant: Here are your production monitors:

  1. Company Website (mon_abc123) - ✅ UP

    • Last check: 2 minutes ago
    • Response time: 145ms
  2. API Health Check (mon_def456) - ⚠️ SLOW

    • Last check: 1 minute ago
    • Response time: 2.1s (warning threshold)

Advanced Usage Examples

Multi-Environment Setup

You: "Create monitors for all our environments - staging, production, and development"

AI Assistant: I'll create monitors for all three environments. Let me know the URLs for each:

You:

AI Assistant: Perfect! I'll create monitors for all three environments with appropriate tags and intervals.

(AI creates three monitors with different intervals and tags)

API Endpoint Monitoring

You: "Monitor our REST API endpoints with proper health checks"

AI Assistant: I'll help you set up comprehensive API monitoring. Let me create monitors for your key API endpoints with proper health check validation.

Status Dashboard Creation

You: "Check the status of all our critical services"

AI Assistant: Let me check the status of all monitors tagged as 'critical' and provide you with a status dashboard.

(AI gets all critical monitors and their current status)

Error Handling

The MCP server handles various error scenarios:

Authentication Errors

Error: Invalid API key. Please check your Bareuptime API key.

Rate Limiting

Error: Rate limit exceeded. Please wait 60 seconds before trying again.

Validation Errors

Error: Invalid URL format for monitor creation.

Resources

The hosted MCP server is continuously updated with new features and improvements.