Kachaka MCP Server
by comoc
The Kachaka MCP server provides Kachaka robot functionalities to various AI models through the Model Context Protocol (MCP). This allows AI models like Claude, GPT-4, and local LLMs to understand and control Kachaka.
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What is Kachaka MCP Server?
The Kachaka MCP server is a server that exposes the functionalities of the Kachaka robot through the Model Context Protocol (MCP). It acts as an intermediary, allowing AI models to interact with and control the Kachaka robot.
How to use Kachaka MCP Server?
To use the Kachaka MCP server, you need to install it using the provided scripts or package manager (uv, pip). Configure the server with the Kachaka robot's host address. Then, AI models can connect to the server using MCP to access resources (robot status, map data, sensor data) and tools (movement, shelf operation, system control).
Key features of Kachaka MCP Server
Provides Kachaka robot functionalities to AI models via MCP
Exposes robot status, map data, and sensor data as MCP resources
Offers tools for robot movement, shelf operation, and system control
Includes prompt templates for efficient AI model interaction
Use cases of Kachaka MCP Server
Controlling Kachaka robot with AI models like Claude and GPT-4
Integrating Kachaka robot into AI-powered automation workflows
Using AI to navigate and manipulate objects with Kachaka
Developing custom AI applications for Kachaka robot
FAQ from Kachaka MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for communication between AI models and external systems.
What AI models are compatible with Kachaka MCP?
What AI models are compatible with Kachaka MCP?
The server is designed to work with various AI models, including Claude, GPT-4, and local LLMs.
How do I configure the Kachaka host?
How do I configure the Kachaka host?
The Kachaka host can be configured using environment variables (KACHAKA_HOST) or a configuration file (~/.kachaka-mcp/config.json).
What resources are available?
What resources are available?
Available resources include robot status, version, serial number, map information, sensor data (camera, laser, IMU, odometry, object detection).
What tools are available?
What tools are available?
Available tools include moving to locations, moving shelves, speaking text, cancelling commands, and controlling system settings.