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Install in OpenClaw
/install vectorclaw-mcp
Description
MCP tools for Anki Vector: speech, motion, camera, sensors, and automation workflows.
Usage Guidance
This skill appears to do what it claims (control a Vector robot) and only requests the robot serial and an SDK config. However, the skill bundle does not include the actual Python package (vectorclaw-mcp) — SKILL.md instructs you to pip-install it. Before installing or running the MCP server: 1) review the package source (the GitHub repo linked) or the PyPI project to inspect the code; 2) install in an isolated environment (virtualenv, container, or VM) if you don't want arbitrary code on your system; 3) know that the SDK config (~/.anki_vector/sdk_config.ini) likely contains your robot's auth info, so treat it as sensitive; and 4) only use this if you own/trust the Vector hardware and Wire-Pod setup. These checks are why confidence is medium rather than high.
Capability Analysis
Type: OpenClaw Skill
Name: vectorclaw-mcp
Version: 1.0.4
The OpenClaw skill bundle defines a legitimate purpose: controlling an Anki Vector robot. It uses standard installation (pip) and execution (`python3 -m`) methods, and requires an environment variable (`VECTOR_SERIAL`) essential for its stated functionality. There is no evidence of prompt injection attempts in the markdown files, nor any indicators of intentional malicious behavior such as data exfiltration, unauthorized command execution, or persistence mechanisms within the provided skill definition files.
Capability Assessment
Purpose & Capability
Name, description, and runtime instructions align: controlling a Vector robot via MCP reasonably requires python3, a VECTOR_SERIAL, an SDK config, and launching a Python MCP server. The listed tools (speak, drive, camera, sensors) match that purpose.
Instruction Scope
SKILL.md only instructs robot-related actions: installing the package, configuring the Vector SDK (~/.anki_vector/sdk_config.ini), setting VECTOR_SERIAL, and adding an MCP server entry. It does not ask to read unrelated system files or exfiltrate data.
Install Mechanism
Installation is via pip (vectorclaw-mcp). Using PyPI is expected for a Python MCP package but carries the normal risk that arbitrary code will be installed; the skill bundle itself contains no code to inspect, so the package should be audited (or installed in an isolated environment) before use.
Credentials
The only environment variable required is VECTOR_SERIAL, which is appropriate for addressing a particular robot. The SDK config path is expected for Vector SDK usage. No unrelated credentials or broad secrets are requested.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It relies on launching its own MCP server process (normal for this use). Autonomous invocation is allowed by default but not combined with other concerning flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install vectorclaw-mcp - After installation, invoke the skill by name or use
/vectorclaw-mcp - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
v1.0.4 - SKILL.md wording/formatting update only (no runtime or tool behavior changes).
v1.0.3
v1.0.3 - ClawHub SKILL.md formatting refresh for readability and clearer vision-model requirement for look→reason→act workflows. No runtime/tool behavior changes.
v1.0.2
v1.0.2 - shorten listing description to fit ClawHub preview.
v1.0.1
v1.0.1 - shorten ClawHub description to avoid truncation. No functionality changes.
v1.0.0
v1.0.0 - First public release: 23 MCP tools for Anki Vector robot control.
Metadata
Frequently Asked Questions
What is VectorClaw MCP?
MCP tools for Anki Vector: speech, motion, camera, sensors, and automation workflows. It is an AI Agent Skill for Claude Code / OpenClaw, with 399 downloads so far.
How do I install VectorClaw MCP?
Run "/install vectorclaw-mcp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is VectorClaw MCP free?
Yes, VectorClaw MCP is completely free (open-source). You can download, install and use it at no cost.
Which platforms does VectorClaw MCP support?
VectorClaw MCP is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created VectorClaw MCP?
It is built and maintained by robodan (@danmartinez78); the current version is v1.0.4.
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