Install
$ agentstack add mcp-danmartinez78-vectorclaw ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README — it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
🤖 VectorClaw
[](https://github.com/danmartinez78/VectorClaw/actions/workflows/ci.yml) [](https://www.python.org/downloads/) [](https://pypi.org/project/vectorclaw-mcp/) [](LICENSE) [](ROADMAP.md)
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](docs/SECURITY_ARCHITECTURE.md) for the full trust model.
Table of Contents
- [Architecture](#architecture)
- [Current Status](#current-status)
- [Quickstart](#quickstart)
- [MCP Client Configuration](#mcp-client-configuration)
- [Available Tools](#available-tools)
- [Contributing](#contributing)
- [Docs Map](#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](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](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/OPENCLAWSETUPSKILL.md](docs/OPENCLAWSETUPSKILL.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_sdk installs under the anki_vector Python namespace, so all imports and CLI commands use anki_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_drive requires the robot to be off the charger. > Call vector_drive_off_charger first, or set VECTOR_AUTO_DRIVE_OFF_CHARGER=1 for automatic undocking.
See [docs/MCPAPIREFERENCE.md](docs/MCPAPIREFERENCE.md) for full parameter details and response schemas.
Contributing
- 🌿 Branch: branch off
dev, use/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](docs/HARDWARESMOKELOG.md) following the [Hardware Test Playbook](docs/HARDWARETESTPLAYBOOK.md)
- 🎯 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](docs/SETUP.md) | Wire-Pod install, robot auth, WiFi, SDK config, troubleshooting | | [Troubleshooting](docs/TROUBLESHOOTING.md) | Common runtime failures, smoke baseline, and escalation path | | [Runtime Support](docs/RUNTIME_SUPPORT.md) | Supported Python versions and CI policy |
📡 API & SDK
| Document | Description | |----------|-------------| | [API Reference](docs/MCPAPIREFERENCE.md) | MCP tool signatures, parameters, response schemas | | [Wire-Pod SDK Reference](docs/VECTORSDKREFERENCE.md) | Full SDK capability catalog | | [Wire-Pod SDK → MCP Integration Priorities](docs/WIREPODSDKMCPINTEGRATIONPRIORITIES.md) | Now/Later/Skip decision table for future tools |
🔬 Hardware Validation
| Document | Description | |----------|-------------| | [Hardware Test Playbook](docs/HARDWARETESTPLAYBOOK.md) | Repeatable on-robot validation protocol and PR checklist | | [Hardware Smoke Log](docs/HARDWARESMOKELOG.md) | Running record of real-world smoke tests | | [Tool Docking Prerequisites](docs/TOOLDOCKINGPREREQUISITES.md) | Which tools require undocked state |
🔒 Security
| Document | Description | |----------|-------------| | [Security Architecture](docs/SECURITY_ARCHITECTURE.md) | Threat model, credential handling, input validation, network posture |
License
MIT — see [LICENSE](LICENSE).
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: danmartinez78
- Source: danmartinez78/VectorClaw
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.