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Bring RTSP, ONVIF, AngelBox, or embedded Connector devices online without public IPs or port forwarding.
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Bring live video, recordings, and camera snapshots into your app through APIs—or give your AI assistant access through MCP. Angelcam handles the camera connectivity so you can focus on what you’re building.
See what you can build ↓Angelcam handles the infrastructure between physical cameras and the experience you sell. Start small with our APIs, then grow into a fully branded product without rebuilding the foundation.
Bring RTSP, ONVIF, AngelBox, or embedded Connector devices online without public IPs or port forwarding.
Live streams, cloud recordings and a rolling engine buffer give your product the right video at the right time.
Bring your workflow, data, AI models and industry expertise. Our open APIs make the platform yours to shape.
Deliver apps, hardware, alerts and services behind your own brand, pricing and customer relationship.
Connect your AI assistant to the cameras your Angelcam account can already access. Check a live view, explore recorded footage, investigate camera defects and review service usage. The standard connector also supports confirmed recording controls and approved feedback; choose /readonly for read-only access.
ChatGPT
Claude
Grok Bot
Muse
GeminiFind your spaces, confirm access, list locations, or send feedback after approving its contents.
list_spaces
get_current_user
list_locations
send_feedback
Check a camera now, request a fresh frame, inspect stored snapshot age, or open a stream.
list_cameras
find_camera
get_camera
check_camera_online
get_live_snapshot
get_stored_snapshot
get_live_stream_url
get_camera_broadcasting
Review capacity, gaps, historical frames and playback. Download up to three hours of footage.
list_recordings
get_recording_usage
get_recording_timeline
get_recording_stream_url
get_recording_snapshot
get_recording_snapshots
get_recording_download_url
Review moved or blocked views, clock defects, security incidents and site health.
list_defect_detection_checks
get_defect_detection_check
list_defect_detection_cameras
get_defect_detection_settings
list_incidents
get_health_summary
get_site_health_briefing
Space administrators can review service expiry dates and usage.
list_active_services
get_active_service_usage
Start or stop Cloud Recording after confirming the camera. Stopped recording leaves gaps; an existing Cloud Recording service is required.
start_recording
stop_recording
Ask your AI to evaluate a fresh camera snapshot or review frames from recordings. To repeat checks and send alerts, add a schedule and notification workflow in your own app or assistant.
Check a stable camera on a schedule, track posture changes and surface unusual periods for human review.
Verify visible entry points after closing time and create an exception only when a door remains open.
Confirm lighting state outside business hours, compare it with schedules and flag avoidable energy use.
Check a fresh gate snapshot at regular intervals, then use your workflow to notify the right person when its visible state does not match policy.
Measure visible waiting lines, track peak periods and alert teams before service levels begin to slip.
Estimate visible occupancy, compare it with operating limits and feed live capacity into customer experiences.
Recognize visually specific activity and route the evidence to a human before property damage escalates.
Turn ordinary parking cameras into live availability signals and flag vehicles that need review.
Compare visible equipment and supplies with the expected setup, then surface gaps before a shift starts.
Capture an image on a schedule and let AI evaluate what is visibly true. Each check can return a yes-or-no answer, a count, a status or a change from an earlier or reference image.
We’re preparing practical walkthroughs to help you connect your cameras, set up Angelcam MCP and build useful AI checks. Explore the examples below for a preview of what’s coming.
From Angelcam camera setup and MCP authorization to a reliable snapshot question, known-state tests and a safe handoff.
Build a scheduled welfare check that uses an Apify Actor to inspect the latest stable image and record a clear yes-or-no state.
Give Grok Bot the latest parking view through MCP and turn its count of vacant marked spaces into a live availability signal.
Let Claude inspect a current gate snapshot through MCP, classify it as open or closed and explain uncertain results.
Bring the camera-powered use case you have in mind. I’ll help you find the shortest path from a visible condition to a working product.
Tell me what the camera can see, the answer you need and who will use it. I’ll point you toward the right Angelcam building blocks.
Share your use case →
02 / TALK IT THROUGHWe’ll map your use case, camera setup, MCP or API path and the first proof you should build—without turning it into a generic sales call.
Request a call →Pavel Kuba · Head of Growth, AngelcamAlready know what you want to build? Explore camera connectivity, streams, recordings, events and APIs, then bring me the open questions.
Open developer docs ↗Ask your assistant for live camera checks, recorded frames, defect reports and service information. Choose the standard connector for 30 tools, including recording control and feedback, or /readonly for 27 tools that cannot make changes.
Add Angelcam as a custom connector and sign in to your account. Ask about the spaces and cameras you can already access. Use https://mcp.angelcam.com/readonly if the assistant must never start or stop recording or send feedback.