Allow2 MCP Server - AI Developer Documentation

Add this to your AI assistant's MCP configuration:

{
  "mcpServers": {
    "allow2": {
      "type": "streamable-http",
      "url": "https://mcp.allow2.com/mcp"
    }
  }
}

Connect Your AI

Get Allow2 developer documentation directly in your AI assistant. Choose your platform:

Add to ~/.claude/claude_desktop_config.json or run:

claude mcp add allow2 --transport streamable-http --url https://mcp.allow2.com/mcp

Add to your Cursor MCP settings (.cursor/mcp.json):

{
  "mcpServers": {
    "allow2": {
      "type": "streamable-http",
      "url": "https://mcp.allow2.com/mcp"
    }
  }
}

Add to VS Code settings (.vscode/mcp.json):

{
  "servers": {
    "allow2": {
      "type": "http",
      "url": "https://mcp.allow2.com/mcp"
    }
  }
}

Use these endpoints with any MCP-compatible client:

Streamable HTTP: https://mcp.allow2.com/mcp
SSE (legacy):    https://mcp.allow2.com/sse
Health check:    https://mcp.allow2.com/health

Once connected, try prompts like:

Get the Device API pairing flow with code examples

Get installation and usage examples for allow2 npm package

Step-by-step Allow2Automate plugin development

List all activity types (Gaming, Internet, Screen Time, etc.)

Get recommendations for your specific use case

Platform-specific integration walkthrough

The MCP server provides these tools for AI assistants:

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Get working code examples for SDK + use case

Get tailored integration recommendation

List all activity types with IDs

Get Allow2Automate plugin template