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Kachaka MCP サーバー

@comoc

代码仓库

基本信息

分类

其他

许可证

Apache-2.0 license

传输方式

stdio

作者

comoc

关于 Kachaka MCP サーバー

Kachaka MCP Server - Model Context Protocol server for Kachaka robot

Kachaka MCP サーバー 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Kachaka MCP サーバー 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

1

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`.

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`.

3

Does the server support authentication?

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

4

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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