Camera Access MCP Server
Direct hardware abstraction via standard Model Context Protocol servers. Connects live OpenCV video feeds and spatial cameras straight to AI agents without custom driver glue.
Spatial computing · MCP native
InfinityID Labs builds the handheld spatial node, the camera MCP servers, and the holographic SDKs that let AI agents see, hear, and render in real space.
AI trend 02
“Hey Infinity, calibrate holographic camera feed and initialize spatial canvas.”
Tap or speak to navigate effortlessly. Voice-activated interfaces provide hands-free control, enhanced accessibility, and personalized assistance — taking control far beyond standard search.
awaiting voice input…
idle — awaiting input
Live speech capture is unavailable in this browser — the text console runs the same intents.
Hero product
An ultra-sleek, handheld spatial computing device designed for sensory input and holographic spatial interfaces.

Spatial camera sensor
12 MP global shutter · 120° FOV depth pair
Array microphones
4-mic beamforming · 5 m wake-word range
Holographic ray projector
Laser-scanned volumetric field · 60 fps
MCP server node
On-device runtime · mcp://device.local:8080
Core capabilities
Direct hardware abstraction via standard Model Context Protocol servers. Connects live OpenCV video feeds and spatial cameras straight to AI agents without custom driver glue.
SDKs for rendering 3D spatial UI overlays, anchored volumetric panels, and interactive mobile sensory controls.
Real-time multi-modal processing merging depth vision, voice input, and spatial orientation tracking into one agent-readable stream.
Developer example
# Connect your holographic app to the InfinityID Camera MCP Server
import mcp.client as mcp
async def main():
async with mcp.connect("mcp://device.local:8080/camera") as mcp_client:
# Discover sensory capabilities
tools = await mcp_client.list_tools()
# Trigger spatial depth frame capture
frame = await mcp_client.call_tool(
"quick_capture",
{"mode": "holographic_depth", "device_index": 0}
)
print("Sensory frame captured for 3D holographic rendering.")
if __name__ == "__main__":
import asyncio
asyncio.run(main())AI trend 03
Adaptive workflows learn your developer persona over time. Instead of dynamic friction, smart onboarding tailors technical follow-ups, device allocations, and software tools based on your ongoing interactions.