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pounce

Execute natural language commands to control the Unitree Go2 robot via ROS2 instructions, enabling precise and intuitive robotic actions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • server.py:82-86 (handler)
    The MCP tool handler for 'pounce', registered via @mcp.tool(). Delegates to WirelessController.pounce() method.
    @mcp.tool()
    def pounce():
        _, msg = wirelesscontroller.pounce()
        wirelesscontroller.stop()
        return msg
  • Core logic for pounce action in WirelessController: stand up then custom keys=1025.
    def pounce(self):
        self.stand_up_from_a_fall()
        return self._customised_movements(keys=1025)
  • Helper method used by pounce (and others) to publish zero stick values with specific keys via ros2 topic pub.
    def _customised_movements(self, keys: int, rate: int = None, times: int = 5) -> tuple[bool, Any]:
        rate = rate if rate is not None else self.rate
        rate_opt = f"-r {rate} --times {times}"
        command = (
            f"source {self.setup_sh_path} && "
            f"ros2 topic pub {self.topic} {self.msg_type} "
            f"'{{lx: 0.0, ly: 0.0, rx: 0.0, ry: 0.0, keys: {keys}}}' {rate_opt}"
        )
        return self.execute(command)
Behavior1/5

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Completeness1/5

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Parameters1/5

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Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

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Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

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Related Tools

  • @lpigeon/unitree-go2-mcp-server
  • @lpigeon/unitree-go2-mcp-server
  • @lpigeon/unitree-go2-mcp-server
  • @lpigeon/unitree-go2-mcp-server
  • @lpigeon/unitree-go2-mcp-server
  • @lpigeon/unitree-go2-mcp-server

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