VectorClaw
БесплатноНе проверенEnables AI assistants to control Anki Vector robots locally via natural language, providing tools for speech, motion, perception, and interaction without cloud
Описание
Enables AI assistants to control Anki Vector robots locally via natural language, providing tools for speech, motion, perception, and interaction without cloud dependency.
README
CI Python 3.11+ PyPI License: MIT Status: v1.0.0
Give your AI assistant a body.
VectorClaw is an MCP server that exposes Anki Vector robot capabilities as tools for AI assistants like OpenClaw — bridging natural language to real-world robot actions over a fully local, cloud-free stack.
Architecture
┌─────────────┐ stdio MCP ┌──────────────────┐ gRPC/WiFi ┌─────────┐
│ AI Agent │ ─────────────── │ vectorclaw-mcp │ ─────────────── │ Vector │
│ (OpenClaw) │ │ (Python 3.11+) │ │ Robot │
└─────────────┘ └──────────────────┘ └─────────┘
All communication is local-only — no cloud dependency at runtime (Wire-Pod setup path).
See Security Architecture for the full trust model.
Table of Contents
- Architecture
- Current Status
- Quickstart
- MCP Client Configuration
- Available Tools
- Contributing
- Docs Map
Current Status
v1.0.0 Released · 2026-03-01
16 tools verified ✅ on hardware | 7 tools experimental ⚠️
Known limitations:
vector_drive_on_charger— activates cube but no reliable charger approach- Perception detections — often returns empty lists; SDK semantics under investigation
- Idle behaviors — Vector's autonomous animations can overlap with commanded behaviors
See ROADMAP.md for the full milestone plan.
Quickstart
Requirements: Python 3.11+ · Wire-Pod running · Vector on local WiFi
For the complete walkthrough (Wire-Pod install, robot auth, WiFi config, troubleshooting) see docs/SETUP.md.
Guided Setup (recommended for new users)
The vectorclaw-setup wizard handles configuration, SDK validation, connectivity
check, and a smoke test in one go:
pip install vectorclaw-mcp
vectorclaw-setup
You will be prompted for your robot's serial number and optional IP address. On success you'll see a clear SETUP PASSED message and the next-steps command. On failure every step includes an exact remediation hint.
See docs/OPENCLAW_SETUP_SKILL.md for full details.
Manual Setup
Step 1 — Install VectorClaw
pip install vectorclaw-mcp
Step 2 — Configure Vector SDK
Wire-Pod is the canonical self-hosted server for Vector. Install the SDK distribution and run the one-time auth wizard:
pip install wirepod_vector_sdk
python -m anki_vector.configure
Note:
wirepod_vector_sdkinstalls under theanki_vectorPython namespace, so all imports and CLI commands useanki_vector.
Legacy cloud path (best-effort only)
The standalone anki_vector package requires working DDL cloud servers and is brittle on modern Python runtimes.
pip install "vectorclaw-mcp[legacy]"
python -m anki_vector.configure
Prefer wirepod_vector_sdk for reliable, cloud-independent operation.
Step 3 — Set environment variables
export VECTOR_SERIAL="your-robot-serial" # required — printed on underside of robot
export VECTOR_HOST="192.168.x.x" # optional — auto-discovered if omitted
Step 4 — Run the server
vectorclaw-mcp
# or
python -m vectorclaw_mcp
MCP Client Configuration
Add the following block to your mcporter.json (or equivalent MCP client config).
With uvx (recommended — no prior install needed)
{
"mcpServers": {
"vectorclaw": {
"command": "uvx",
"args": ["vectorclaw-mcp"],
"env": {
"VECTOR_SERIAL": "your-serial-here"
}
}
}
}
With pip install (if installed locally)
{
"mcpServers": {
"vectorclaw": {
"command": "vectorclaw-mcp",
"env": {
"VECTOR_SERIAL": "your-serial-here"
}
}
}
}
Available Tools
| Tool | Category | Description | Status |
|---|---|---|---|
vector_say |
🎙️ Speech | Make the robot speak text aloud | ✅ |
vector_animate |
🎭 Expression | Play a named animation | ⚠️ |
vector_drive_off_charger |
🏎️ Motion | Drive the robot off its charger | ✅ |
vector_drive |
🏎️ Motion | Drive straight and/or turn in place | ✅ |
vector_drive_on_charger |
🏎️ Motion | Drive Vector back onto its charger | ⚠️ |
vector_emergency_stop |
🏎️ Motion | Stop all motion immediately | ✅ |
vector_head |
🦾 Actuation | Set head angle (−22° – 45°) | ✅ |
vector_lift |
🦾 Actuation | Set lift height (0.0 – 1.0) | ✅ |
vector_look |
👀 Perception | Capture image from front camera | ✅ |
vector_capture_image |
👀 Perception | One-shot image capture | ✅ |
vector_face |
🖼️ Display | Display custom image on face screen | ✅ |
vector_scan |
🔍 Perception | Head scan for environment | ✅ |
vector_find_faces |
🔍 Perception | Scan for faces | ⚠️ |
vector_list_visible_faces |
🔍 Perception | List currently visible faces | ⚠️ |
vector_face_detection |
🔍 Perception | Get face detection summary | ⚠️ |
vector_list_visible_objects |
🔍 Perception | List currently visible objects | ⚠️ |
vector_cube |
🎲 Interaction | Interact with cube (dock/pickup/drop/roll) | ⚠️ |
vector_vision_reset |
👀 Perception | Disable all vision modes | ✅ |
vector_pose |
📍 Sensing | Get current position and orientation | ✅ |
vector_status |
📊 Status | Get battery level and charging status | ✅ |
vector_charger_status |
📊 Status | Get charger connection state | ✅ |
vector_touch_status |
📊 Status | Get touch sensor state | ✅ |
vector_proximity_status |
📊 Status | Get proximity sensor reading | ✅ |
Status legend: ✅ Verified on hardware | ⚠️ Experimental (limited/reliable issues)
⚠️ Charger prerequisite:
vector_driverequires the robot to be off the charger. Callvector_drive_off_chargerfirst, or setVECTOR_AUTO_DRIVE_OFF_CHARGER=1for automatic undocking.
See docs/MCP_API_REFERENCE.md for full parameter details and response schemas.
Contributing
- 🌿 Branch: branch off
dev, use<type>/<short-description>naming (e.g.fix/vector-face-payload,feat/vector-scan) - 🧪 Tests: add or update tests under
tests/; all tests use the mocked SDK — no hardware required - ✅ CI: Python 3.11 is required and must pass; Python 3.12 is experimental/informational — run
pytest tests/ -vlocally before opening a PR - 🤖 Hardware: if your change touches a tool or connection layer, record a smoke-test run in Hardware Smoke Log following the Hardware Test Playbook
- 🎯 PR scope: keep PRs focused — separate docs, feature, and refactor changes to reduce merge-conflict risk with parallel lanes
Docs Map
🛠️ Setup & Runtime
| Document | Description |
|---|---|
| Setup Guide | Wire-Pod install, robot auth, WiFi, SDK config, troubleshooting |
| Troubleshooting | Common runtime failures, smoke baseline, and escalation path |
| Runtime Support | Supported Python versions and CI policy |
📡 API & SDK
| Document | Description |
|---|---|
| API Reference | MCP tool signatures, parameters, response schemas |
| Wire-Pod SDK Reference | Full SDK capability catalog |
| Wire-Pod SDK → MCP Integration Priorities | Now/Later/Skip decision table for future tools |
🔬 Hardware Validation
| Document | Description |
|---|---|
| Hardware Test Playbook | Repeatable on-robot validation protocol and PR checklist |
| Hardware Smoke Log | Running record of real-world smoke tests |
| Tool Docking Prerequisites | Which tools require undocked state |
🔒 Security
| Document | Description |
|---|---|
| Security Architecture | Threat model, credential handling, input validation, network posture |
License
MIT — see LICENSE.
Установить VectorClaw в Claude Desktop, Claude Code, Cursor
unyly install vectorclawСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add vectorclaw -- uvx vectorclaw-mcpFAQ
VectorClaw MCP бесплатный?
Да, VectorClaw MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для VectorClaw?
Нет, VectorClaw работает без API-ключей и переменных окружения.
VectorClaw — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить VectorClaw в Claude Desktop, Claude Code или Cursor?
Открой VectorClaw на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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