kachaka-mcp

kachaka-mcp

3.3

If you are the rightful owner of kachaka-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Kachaka MCP server provides Kachaka functionalities to various AI models through the Model Context Protocol.

Kachaka MCP server (kachaka-mcp) is a server that provides the functionalities of Kachaka to various AI models through the Model Context Protocol (MCP). This server allows AI models like Claude, GPT-4, and local LLMs to understand and control the state of Kachaka. The server facilitates communication between AI models and Kachaka using gRPC, enabling seamless integration and control. It supports both synchronous and asynchronous interfaces and includes features like network connection management and reconnection capabilities. The server architecture is designed to be modular, with distinct layers for resources, tools, prompts, and authentication, ensuring a robust and scalable solution for integrating AI models with Kachaka.

Features

  • Provides Kachaka functionalities to AI models through MCP.
  • Supports synchronous and asynchronous interfaces.
  • Includes network connection management and reconnection capabilities.
  • Modular architecture with distinct layers for resources, tools, prompts, and authentication.
  • Facilitates communication between AI models and Kachaka using gRPC.

Tools

  1. Mobile Tools

    Such as move_to_location, return_home, etc., used to control robot movement

  2. Shelf operation tools

    Such as move_shelf, dock_shelf, etc., used to manage shelves

  3. System operation tools

    Such as speak, cancel_command, etc., used for system-level control

  4. Map operation tool

    Such as switch_map, export_map, etc., used for map management