kachaka-mcp

kachaka-mcp

0
ai_chatbotcommunication

Kachaka MCP Server bridges Kachaka functionalities to AI models via MCP, enabling control and state monitoring. It supports AI models like GPT-4 and Claude, and includes essential components like API client and resource layer.

Kachaka MCP Server

  • Description: Kachaka MCP Server is designed to provide Kachaka functionalities to various AI models via the Model Context Protocol (MCP). It integrates with AI models such as Claude, GPT-4, and local LLM, enabling them to understand and control Kachaka states.

  • Deployment: It can be installed using uv sync, and integrates with Claude Desktop by modifying the configuration. Debugging can be performed using MCP Inspector.

  • Architecture: The server connects AI models with Kachaka via gRPC, featuring layers such as Resource, Tool, and Prompt.

  • Key Components:

    • Kachaka API Client: Manages communication with Kachaka API.
    • Resource Layer: Publishes Kachaka state information as MCP resources.
    • Tool Layer: Offers tools for Kachaka operations.
    • Prompt Layer: Provides templates for AI model interactions.
    • Auth & Security Layer: Manages authentication and access control.

  • Implementation Plan: Details project structure, dependencies, and implementation of server, resources, tools, prompts, and authentication.

  • Testing Plan: Covers unit tests, integration tests, and end-to-end tests.

  • Future Expansion:

    • Short-term: Adds features like WebUI and multi-Kachaka management.
    • Long-term: Advanced scheduling and cross-platform integrations.

  • Security Considerations: Includes network security, access control, audit logging, and operational safety.

  • License: Apache License 2.0.