HowlOps supports the Model Context Protocol (MCP), allowing AI assistants like Claude Desktop and Cursor to directly manage your monitors, incidents, and heartbeats without leaving your conversation.

Option A: Hosted endpoint (recommended, no install)

HowlOps serves a remote MCP endpoint at https://api.howlops.com/api/v1/mcp (or ${your-origin}/api/v1/mcp). Authenticate with a Bearer API token. Read-scoped tokens enable the read tools, while write-scoped tokens also unlock create / pause / resume / acknowledge / resolve. Clients with native remote-MCP support (Cursor, VS Code, Codex CLI) point straight at the URL:

{
  "mcpServers": {
    "howlops": {
      "url": "https://api.howlops.com/api/v1/mcp",
      "headers": { "Authorization": "Bearer YOUR_API_TOKEN" }
    }
  }
}

Claude Desktop bridges remote HTTP MCP servers via mcp-remote:

{
  "mcpServers": {
    "howlops": {
      "command": "npx",
      "args": [
        "-y", "mcp-remote",
        "https://api.howlops.com/api/v1/mcp",
        "--header", "Authorization: Bearer YOUR_API_TOKEN"
      ]
    }
  }
}

Option B: Build the local MCP binary

Prefer running locally over stdio? The HowlOps MCP server is also a Go binary. You need Go 1.21+ installed to build it:

# Clone and build
git clone https://github.com/jsedy7/howlops-platform
cd howlops-platform/mcp-server
go build -o howlops-mcp ./cmd/main.go

# (optional) move to a directory in your PATH
mv howlops-mcp /usr/local/bin/howlops-mcp

Generate an API Token

Go to Integrations → API Tokensand create a new token. Copy the token, as you'll need it in the next step.

Configure Claude Desktop (local binary)

Add the following to your claude_desktop_config.json (usually at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "howlops": {
      "command": "/path/to/howlops-mcp",
      "env": {
        "HOWLOPS_API_TOKEN": "your-api-token",
        "HOWLOPS_API_BASE": "https://api.howlops.com"
      }
    }
  }
}

Configure Cursor

Add the following to Cursor's MCP settings or your .cursorrules file:

{
  "mcpServers": {
    "howlops": {
      "command": "/path/to/howlops-mcp",
      "env": {
        "HOWLOPS_API_TOKEN": "your-api-token",
        "HOWLOPS_API_BASE": "https://api.howlops.com"
      }
    }
  }
}

Replace /path/to/howlops-mcp with the actual path to the binary you built, and your-api-token with the token you generated above.

Environment variables

Available tools

The HowlOps MCP server exposes the following tools to your AI assistant:

Example usage

Once configured, you can interact with HowlOps naturally: