VectorClaw MCP

---

name: vectorclaw-mcp

description: "MCP tools for Anki Vector: speech, motion, camera, sensors, and automation workflows."

openclaw:

emoji: "🤖"

requires:

bins: ["python3"]

env: ["VECTOR_SERIAL"]

install:

- id: pip

kind: pip

package: vectorclaw-mcp

label: "Install VectorClaw MCP (pip)"

mcp:

servers:

vectorclaw:

command: python3

args:

- "-m"

- "vectorclaw_mcp.server"

env:

VECTOR_SERIAL: "${VECTOR_SERIAL}"

---

# VectorClaw MCP

VectorClaw connects OpenClaw to an Anki / Digital Dream Labs Vector robot through MCP.

It provides practical robot control primitives for speech, movement, camera capture, and status/sensor reads.

What you can do

Vision requirement for look → reason → act

For see → reason → act workflows, the agent must either be vision-capable itself (e.g., a VLM) or have access to a separate vision model/image-interpretation tool to analyze camera images before choosing actions.

Requirements

Quick setup

1. Install package: `pip install vectorclaw-mcp`

2. Configure SDK: `python3 -m anki_vector.configure`

3. Export robot serial: `export VECTOR_SERIAL=your-serial`

4. Add MCP server:

{
  "mcpServers": {
    "vectorclaw": {
      "command": "python3",
      "args": ["-m", "vectorclaw_mcp.server"],
      "env": { "VECTOR_SERIAL": "${VECTOR_SERIAL}" }
    }
  }
}

Tool coverage

**Hardware-verified core tools**

`vector_say`, `vector_drive_off_charger`, `vector_drive`, `vector_emergency_stop`, `vector_head`, `vector_lift`, `vector_look`, `vector_capture_image`, `vector_face`, `vector_scan`, `vector_vision_reset`, `vector_pose`, `vector_status`, `vector_charger_status`, `vector_touch_status`, `vector_proximity_status`

**Experimental tools**

`vector_animate`, `vector_drive_on_charger`, `vector_find_faces`, `vector_list_visible_faces`, `vector_face_detection`, `vector_list_visible_objects`, `vector_cube`

Current limitations

Documentation