$ loading_
Monitor and control Kachaka robots through MCP for navigation and sensor access.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Kachaka MCP Server" yet — see the docs or source repo.
Using the Kachaka MCP server, send the robot to the warehouse entrance and return the task status, ETA, and current position.
Returns the navigation result, including task acceptance, current position, progress, and estimated arrival time.
Use Kachaka MCP to move the robot to Shelf A, transport it to the packing area, and report each step's status and any errors.
Outputs the full transport workflow result, including approach, pickup, movement, and placement statuses.
Through Kachaka MCP, fetch the robot's current sensor data, obstacle detection results, and device status, then summarize them in a concise report.
Returns a structured status report summarizing sensor readings, obstacle conditions, and robot operating status.
Connect LLMs with ROS robots for intelligent control and automation.
Connect LLMs to ROS robots for command-driven interaction and automation.
Connect ROBOT.md to MCP agents for structured manifest access and validation.
Secure internal knowledge retrieval with permission-aware access control and citation enforcement.
Connect home automation systems for AI-driven device status checks and control.
Chat with AI to retrieve documents and trigger MCP-powered tools.