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get_topics

Retrieve available ROS2 topics dynamically to interact with the Unitree Go2 robot via the MCP server, enabling precise control through natural language commands.

Input Schema

NameRequiredDescriptionDefault

No arguments

Input Schema (JSON Schema)

{ "properties": {}, "title": "get_topicsArguments", "type": "object" }

Implementation Reference

  • server.py:20-39 (handler)
    The primary MCP tool handler for 'get_topics', decorated with @mcp.tool(). It retrieves ROS2 topics using either WebSocketManager (rosbridge) or direct Ros2Manager based on configuration.
    @mcp.tool() def get_topics(): if use_rosbridge: topic_info = ws_manager.get_topics() ws_manager.close() if topic_info: topics, types = zip(*topic_info) return { "topics": list(topics), "types": list(types) } else: return "No topics found" else: topics = ros2_manager.get_topics() return { "topics": topics }
  • Helper method in Ros2Manager class that executes shell command to list ROS2 topics directly.
    def get_topics(self) -> list[str]: command = f"source {self.setup_sh_path} && ros2 topic list" output = subprocess.check_output(command, shell=True, executable='/bin/bash').decode() return output.split('\n')
  • Helper method in WebSocketManager class that queries ROS topics via rosbridge WebSocket service.
    def get_topics(self) -> list[tuple[str, str]]: self.connect() if self.ws: try: self.send({ "op": "call_service", "service": "/rosapi/topics", "id": "get_topics_request_1" }) response = self.receive_binary() print(f"[WebSocket] Received response: {response}") if response: data = json.loads(response) if "values" in data: topics = data["values"].get("topics", []) types = data["values"].get("types", []) if topics and types and len(topics) == len(types): return list(zip(topics, types)) else: print("[WebSocket] Mismatch in topics and types length") except json.JSONDecodeError as e: print(f"[WebSocket] JSON decode error: {e}") except Exception as e: print(f"[WebSocket] Error: {e}") return []

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