VectorClaw v1.0.0: MCP Server for Anki Vector Robot Control
VectorClaw v1.0.0 is an MCP server that lets OpenClaw control a physical Anki Vector robot. The Vector is a palm-sized robot with tank treads, a lift arm, HD camera, proximity/cliff sensors, touch sensor, speaker, screen face, and WiFi connectivity that can operate cloud-independently with Wire-Pod.
Available Tools
The server provides 23 MCP tools organized into functional categories:
- Speech:
vector_say - Motion:
vector_drive,vector_head,vector_lift - Perception:
vector_look,vector_capture_image - Sensors:
vector_proximity_status,vector_touch_status,vector_pose - Display:
vector_face
How It Works
This enables embodied AI through tool orchestration. Your agent can perceive → reason → act in a loop:
vector_look() → capture image Send to vision model → "What do you see?" Agent decides action based on response vector_drive() or vector_say() → act
The approach allows your assistant to control a physical platform by calling tools rather than requiring a specialized robotics model.
Roadmap
v1.x planned features:
- Async motion control (non-blocking drive with interrupt capability)
- Audio recording from robot microphones
- Multiple robot support
- Personality modes
v2.0 vision: ROS2 integration for SLAM + NAV2, enabling higher-level commands like "go to kitchen" instead of low-level "turn 90°, drive 2m" instructions.
Links
- PyPI: https://pypi.org/project/vectorclaw-mcp/
- ClawHub: https://clawhub.ai/danmartinez78/vectorclaw-mcp
- GitHub: https://github.com/danmartinez78/VectorClaw
📖 Read the full source: r/openclaw
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