Enables PTZ camera control with gimbal positioning, snapshots, and AI visual analysis for OBSBOT and UVC cameras. Supports autonomous scanning patterns and integrates with vision-language models for real-time camera analysis.
Enables AI assistants to control Anki Vector robots locally via natural language, providing tools for speech, motion, perception, and interaction without cloud dependency.
Connects embodied devices (like StackChan, Raspberry Pi, ESP32) to AI via MCP protocol, enabling motion control with zero API cost, no PC required, and fully self-hosted.
Enables Xiaozhi ESP32 voice assistants to connect to a central MCP hub that aggregates local business tools and remote OmniRoute agentic tools, supporting scheduling, alarms, stock quotes, todos, persistent memory, skills, webhooks, and automations via MCP SSE and HTTP JSON-RPC.
A bridge between AI assistants like Claude and Anava-enabled Axis cameras, enabling real-time image analysis, event monitoring, and camera management through natural language commands.
Enables control of ROS/ROS2 robots through natural language commands by translating LLM instructions into ROS topics and services. Supports cross-platform WebSocket-based communication with existing robot systems without requiring code modifications.