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