Kachaka MCP サーバー

Name: Kachaka MCP サーバー
Author: comoc

@comoc

リポジトリ

Kachaka MCP サーバーについて

Kachaka MCP Server - Model Context Protocol server for Kachaka robot

基本情報

カテゴリ

その他

ライセンス

Apache-2.0 license

ランタイム

python

トランスポート

stdio

公開者

comoc

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "kachaka-mcp": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Kachaka MCP サーバー?

Kachaka MCP サーバー is an experimental server that provides Kachaka robot’s functionality to various AI models through the Model Context Protocol (MCP). It enables AI models such as Claude, GPT-4, and local LLMs to understand and control Kachaka’s state.

How to use Kachaka MCP サーバー?

Install the server with uv sync after cloning the repository. Configure the server by setting the environment variable KACHAKA_HOST to your Kachaka host address or by creating a config file at ~/.kachaka-mcp/config.json. Run the server with uv run python -m kachaka_mcp.server or use mcp run kachaka_mcp.server; for Claude Desktop, add the server configuration to claude_desktop_config.json.

Key features of Kachaka MCP サーバー

Exposes robot status, map, and sensor data as MCP resources.
Provides movement, shelf, system, and map operation tools.
Offers prompt templates for AI interaction and error handling.
Supports API key-based authentication and access control.
Uses gRPC to communicate with the Kachaka API client.

Use cases of Kachaka MCP サーバー

An AI assistant commands the robot to move to a named location.
A user asks the AI to dock or undock the robot from a shelf.
The AI retrieves the robot’s battery level and current command state.
A map is switched or exported remotely via an AI chat interface.
The robot speaks a text message when prompted by an AI model.

FAQ from Kachaka MCP サーバー

What are the runtime dependencies?

Python >=3.10, and packages including mcp[cli]>=1.7.1, kachaka-api, grpcio, pydantic, pillow, numpy, loguru, and protobuf==5.27.2.

How do I configure the server?

Set the environment variable KACHAKA_HOST to the Kachaka host address, or place a JSON config file at ~/.kachaka-mcp/config.json (Linux/macOS) or %USERPROFILE%\.kachaka-mcp\config.json (Windows). The config location can be overridden with KACHAKA_MCP_CONFIG.

Does the server support authentication?

Yes, it provides API key-based authentication, access control, and operation logging through a dedicated authentication and security layer.

Is this server ready for production use?

No, the code is currently experimental and may not work correctly. Use with caution.

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Kachaka MCP サーバー について