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Tasker MCP Server

@dceluis

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

dceluis

关于 Tasker MCP Server

An MCP server for Android's Tasker automation app.

#golang#mcp#tasker#tasker-project#mcp-server

Tasker MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "tasker-mcp": {
      "command": "node",
      "args": [
        "xml-to-tools.js",
        "/path/to/your/exported/mcp_server.prj.xml",
        ">",
        "toolDescriptions.json"
      ]
    }
  }
}

Tasker MCP Server 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 Tasker MCP?

Tasker MCP is an integration that connects Model Context Protocol (MCP)‑enabled applications to Tasker, the Android automation app. It allows AI assistants and other MCP clients to trigger Tasker tasks, flash text, and pass arguments securely via an API key.

How to use Tasker MCP?

  1. Import the Tasker profile (dist/mcp_server.prj.xml) into Tasker and run the MCP generate_api_key task to create an API key.
  2. Select the correct CLI server binary for your device’s architecture (e.g., tasker-mcp-server-cli-aarch64) from the dist/ folder, copy it together with toolDescriptions.json to your device, and rename the binary to mcp-server.
  3. Run the server in SSE mode (./mcp-server --tools <path> --tasker-api-key=tk_... --mode sse) or stdio mode (pipe a JSON‑RPC payload to the binary).
  4. Point your MCP‑enabled app (e.g., Claude Desktop) to the running server using the endpoint or process.

Key features of Tasker MCP

  • Import a pre‑built Tasker profile for MCP integration
  • Generate a secure API key for authentication
  • Run the CLI server in SSE or stdio transport mode
  • Configurable host, port, and Tasker connection settings
  • Build the CLI server from source (Go) for custom architecture
  • Extend the profile with custom tasks using Task Variables and metadata

Use cases of Tasker MCP

  • Connect Claude Desktop or other MCP clients to Tasker to execute automations
  • Let an AI assistant flash text, set variables, or trigger complex Tasker actions
  • Build custom MCP‑enabled workflows by adding Task Variables and exporting updated tool descriptions
  • Automate device tasks from any application that supports the Model Context Protocol

常见问题

1

How do I generate an API key?

After importing the Tasker profile, run the `MCP generate_api_key` task inside Tasker – it will produce an API key (e.g., `tk_...`).

2

What transport modes are supported?

Two modes: SSE (Server‑Sent Events) and stdio. Use the `--mode` flag with `sse` or `stdio` (default is `stdio`).

3

What dependencies do I need?

To build the CLI server yourself you need Go. To generate updated tool descriptions you need Node.js to run the `xml-to-tools.js` script.

4

How do I add custom tasks to the MCP profile?

Mark a task as MCP‑enabled by setting its comment (becomes the tool description) and configuring Task Variables that act as arguments. Then copy the special `MCP#parse_args` action to the top of the task, export the project, and generate a new `toolDescriptions.json` using `node xml-to-tools.js`.

5

Is authentication required?

Yes. The server requires a `--tasker-api-key` flag that matches the key generated inside Tasker. This key is passed with every request for secure access.

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