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Connect to workshop ESP32-CAMs to capture photos, check status, and control flash LEDs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "oeil-atelier-mcp" yet — see the docs or source repo.
List all currently connected workshop ESP32-CAM devices, including their names, identifiers, and online status.
A camera inventory with each device's name, ID, and connection status.
Use camera cam-2 to capture a current workshop photo, turning on the flash LED first if needed, and return the image result and execution status.
The capture result, image reference details, and whether the flash and camera actions succeeded.
Check the technical status of all workshop cameras, identify any offline, faulty, or maintenance-needed devices, and provide a brief conclusion.
A status summary for each camera, highlighting abnormal devices and likely issues.
Connect MCP to ESP32 Tasmota devices for structured control and sensor reading.
Control an esieabot robot's motors, servo, and camera using natural language.
Monitor and control an Elegoo Centauri Carbon 3D printer over a local network.
Control Bosch smart home cameras with natural language for monitoring and privacy.
Let reasoning models inspect images through description-only vision integration.
Connect AI to an Owon oscilloscope for capture, measurements, and remote control.