{
  "protocolVersion": "0.3",
  "name": "SecondSee",
  "description": "Capability manifest for SecondSee — a live device intelligence platform that captures camera, audio, and sensor streams from wearable and conventional devices and composes real-time perception and output workflows. HONESTY NOTE: SecondSee does not yet expose a live HTTP agent/RPC endpoint; this card describes real capabilities and how to connect to them via local MCP servers (see /.well-known/mcp.json) and the product brief at /llms.txt. Contact: /curious.",
  "version": "1.0.0",
  "homepageUrl": "https://secondsee.com",
  "url": "https://secondsee.com/curious",
  "documentationUrl": "https://secondsee.com/llms.txt",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionChanged": false
  },
  "defaultInputModes": ["text"],
  "defaultOutputModes": ["text"],
  "skills": [
    {
      "id": "perception-workflows",
      "name": "Live Perception Workflows",
      "description": "Build and run real-time capture -> perception -> output workflows (YOLO detection, OC-SORT tracking, OCR, sensor fusion) over live device streams via the mwdat-workflow-mcp server.",
      "tags": ["perception", "computer-vision", "workflows", "streaming"],
      "examples": ["detect and track objects on a live glasses camera feed", "run OCR and overlay recognized text"]
    },
    {
      "id": "device-fleet",
      "name": "Device & Fleet Management",
      "description": "Manage glasses/device publishers, sessions, streaming, and fleet-wide workflow deployment (mwdat-workflow-mcp, 49 tools).",
      "tags": ["fleet", "devices", "streaming", "smart-glasses"],
      "examples": ["list active devices", "wake a device via APNs", "start a camera stream"]
    },
    {
      "id": "gpu-compute",
      "name": "GPU Compute Orchestration",
      "description": "Provision and control RunPod cloud GPU pods for heavy / model compute via the runpod-gpu-mcp server (12 tools).",
      "tags": ["gpu", "runpod", "compute", "inference"],
      "examples": ["list available GPU types", "create a GPU pod", "run a shell command on a pod over SSH"]
    },
    {
      "id": "node-codegen",
      "name": "Pipeline Codegen",
      "description": "Generate, check, and validate node-definition codegen artifacts (Swift / Kotlin / TypeScript / OpenAPI) via mwdat-codegen-mcp (27 tools).",
      "tags": ["codegen", "node-definitions", "developer-tools"],
      "examples": ["generate Swift node types", "check codegen drift against committed output", "scaffold a new node type"]
    }
  ],
  "securitySchemes": {},
  "security": null
}