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Tasker MCP: Remote Control & Enterprise Workflows - MCP Implementation

Tasker MCP: Remote Control & Enterprise Workflows

Unleash enterprise-grade automation with Tasker MCP – your ultimate hub for remote control, advanced workflows, and seamless Tasker integration. Game-changing power, effortless control." )

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About Tasker MCP

What is Tasker MCP: Remote Control & Enterprise Workflows?

Tasker MCP is an advanced automation framework enabling remote device control and enterprise-grade workflow orchestration. By leveraging cross-platform compatibility and secure API integration, it empowers users to dynamically configure smart environments, automate complex processes, and maintain centralized oversight of connected systems.

How to Use Tasker MCP: Remote Control & Enterprise Workflows?

Initial Setup

Deploy the MCP server with preferred transmission mode (SSE/stdio) and configure secure API keys for authentication.

Task Configuration

Implement structured variable management using typed parameters and descriptive prompts to ensure precise command interpretation.

Execution & Scaling

Execute workflows through CLI or API endpoints while maintaining real-time control over distributed systems and enterprise processes.

Tasker MCP Features

Key Features of Tasker MCP: Remote Control & Enterprise Workflows?

  • Adaptive Protocols: Supports both streaming (SSE) and stateful (stdio) communication for diverse deployment scenarios.
  • Granular Security: Implements role-based API key management with audit trails for enterprise compliance.
  • Dynamic Parsing: Automatically maps incoming JSON parameters to system variables using type-safe validation.
  • Modular Architecture: Extensible task configurations allow plug-and-play integration with custom workflows.

Use Cases of Tasker MCP: Remote Control & Enterprise Workflows?

Smart Environment Control

Remotely manage IoT devices and automation systems through centralized command interfaces.

Enterprise Process Automation

Orchestrate mission-critical workflows across departments using secure API-driven coordination.

AI Integration

Bridge intelligent assistants like Claude Desktop with physical systems through structured API endpoints.

Tasker MCP FAQ

FAQ from Tasker MCP: Remote Control & Enterprise Workflows?

How do I resolve connection timeouts?

Verify firewall settings and ensure the server's transmission mode matches client expectations. Check API key validity and network latency metrics.

Can I customize variable validation?

Yes - configure parameter constraints through variable prompts and enforce type checks using MCP's built-in validation engine.

Is cross-platform support guaranteed?

Tasker MCP operates on Linux/macOS/Windows with consistent API behavior. Edge cases may require minor configuration tweaks.

Content

Tasker MCP

This document will guide you through setting up and running the Tasker MCP integration, including instructions for installing dependencies, preparing servers, and updating tasks.


Usage Guide

Step 1: Import the Tasker Profile

  • Import dist/mcp_server.prj.xml into your Tasker app.
  • After importing, run the MCP generate_api_key task to generate an API key for secure access.

Step 2: Select and Run Your Server

CLI Server:

  • From the dist/ folder, select the correct CLI server binary for your device's architecture, such as tasker-mcp-server-cli-aarch64.
  • Copy both the binary and the toolDescriptions.json file to your device (phone or PC).
  • Rename the binary to mcp-server after copying.

Example:

Using scp:

scp dist/tasker-mcp-server-cli-aarch64 user@phone_ip:/data/data/com.termux/files/home/mcp-server

Using adb push:

adb push dist/tasker-mcp-server-cli-aarch64 /data/data/com.termux/files/home/mcp-server
  • Run the server in SSE mode with:

    ./mcp-server --tools /path/to/toolDescriptions.json --tasker-api-key=tk_... --mode sse

  • Or call it through the stdio transport:

    payload='{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "tasker_flash_text", "arguments": { "text": "Hi" } } }'
    echo $payload | ./mcp-server --tools /path/to/toolDescriptions.json --tasker-api-key=tk_...

Command-Line Flags

The tasker-mcp-server-cli application accepts the following flags:

  • --tools: Path to JSON file with Tasker tool definitions.
  • --host: Host address to listen on for SSE server (default: 0.0.0.0).
  • --port: Port to listen on for SSE server (default: 8000).
  • --mode: Transport mode: sse, or stdio (default: stdio).
  • --tasker-host: Tasker server host (default: 0.0.0.0).
  • --tasker-port: Tasker server port (default: 1821).
  • --tasker-api-key: The Tasker API Key.

Step 3: Connect Your MCP-enabled App

  • Connect your MCP-enabled application by pointing it to the running server.

Example Configuration for Claude Desktop with stdio transport

{
  "mcpServers": {
    "tasker": {
      "command": "/home/luis/tasker-mcp/dist/tasker-mcp-server-cli-x86_64",
      "args": [
        "--tools",
        "/home/luis/tasker-mcp/dist/toolDescriptions.json",
        "--tasker-host",
        "192.168.1.123",
        "--tasker-api-key",
        "tk_...",
        "--mode",
        "stdio"
      ]
    }
  }
}

Building the CLI Server Yourself

Unix/Linux:

  • Install Go using your package manager:

    sudo apt-get install golang-go

  • Build the CLI server (cross-compiling example for ARM64):

    cd cli
    GOOS=linux GOARCH=arm64 go build -o dist/tasker-mcp-server-cli-aarch64 main.go


Updating the MCP Profile with Additional Tasks

Due to limitations in Tasker's argument handling, follow these steps carefully to mark tasks as MCP-enabled:

Step 1: Set Task Comment

  • Add a comment directly in the task settings. This comment becomes the tool description.

Step 2: Configure Tool Arguments Using Task Variables

Tasker supports only two positional arguments (par1, par2). To work around this, we'll use Task Variables:

  • A TaskVariable becomes an MCP argument if:
    1. Configure on Import : unchecked
    2. Immutable : true
    3. Value : empty

After setting the above values you can also set some additional metadata:

  • Metadata mapping:
    • Type : Derived from Task Variable's type (number, string, onoff, etc).
    • Description : Set via the variable's Prompt field.
    • Required : If the Same as Value field is checked.

Note: Temporarily enable "Configure on Import" to set the Prompt description if hidden, then disable it again. The prompt will survive.\

These steps will make sure valid tool descriptions can be generated when we export our custom project later.
Task Variables cannot be pass-through from other tasks, though, so we need to do one last thing in order to get all the variables from the MCP request properly set.

Step 3: Copy the special action

Copy the action MCP#parse_args to the top of your MCP task to enable argument parsing. You can get this from any of the default tasks. But do not modify this action!

Step 4: Exporting and Generating Updated Tool Descriptions

Now your custom tasks are ready:

  • Export your mcp-server project and save it on your PC.

  • Ensure Node.js is installed, then run:

    cd utils
    npm install
    node xml-to-tools.js /path/to/your/exported/mcp_server.prj.xml > toolDescriptions.json

Use this toolDescriptions.json file with your server.


Happy automation!

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