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Autoglm Server

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Enables AI models to control Android devices via ADB through natural language commands, supporting screen analysis and automated actions.

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About

Enables AI models to control Android devices via ADB through natural language commands, supporting screen analysis and automated actions.

README

A Model Context Protocol (MCP) server for the AutoGLM-Phone API, enabling automated GUI interaction on mobile devices.

Overview

This MCP server provides tools for interacting with the AutoGLM-Phone API, which allows AI models to control mobile devices through a series of actions. The server supports Android (ADB).

Quick Start

Using npx (Recommended)

# Run directly without installation
npx -y autoglm-mcp-server

# With options
npx -y autoglm-mcp-server --transport http --port 3000

Global Installation

npm install -g autoglm-mcp-server
autoglm-mcp-server

Local Installation

npm install autoglm-mcp-server

MCP Client Configuration

Claude Desktop / Cursor (stdio mode)

{
  "mcpServers": {
    "autoglm": {
      "command": "npx",
      "args": ["-y", "autoglm-mcp-server"],
      "env": {
        "AUTOGLM_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

StreamableHTTP Mode

First start the server:

npx -y autoglm-mcp-server --transport http --port 3000

Then configure your MCP client:

{
  "mcpServers": {
    "autoglm": {
      "url": "http://127.0.0.1:3000/mcp",
      "headers": {
        "Authorization": "<YOUR_API_KEY>"
      }
    }
  }
}

Configuration

Set the following environment variables:

export AUTOGLM_API_KEY="your-api-key-here"
export AUTOGLM_API_URL="https://open.bigmodel.cn/api/paas/v4"  # optional
export AUTOGLM_MODEL="autoglm-phone"  # optional

Or create a .env file based on .env.example.

Usage

Development

npm run dev

Build

npm run build

Production

# stdio mode (default)
npm start

# HTTP mode
node dist/index.js --transport http --port 3000

# SSE mode
node dist/index.js --transport sse --port 3000

# HTTP mode on all interfaces
node dist/index.js --transport http --host 0.0.0.0 --port 3000

Command Line Options

Option Alias Description Default
--transport -t Transport type: stdio, http, or sse stdio
--port -p Port for HTTP/SSE transport 3000
--host -h Host for HTTP/SSE transport 127.0.0.1
--help Show help message

Available Tools

autoglm_list_adb_devices

List all Android devices connected via ADB (Android Debug Bridge).

Parameters:

  • response_format ('markdown' | 'json', optional): Output format

Returns:

  • Device ID, status, connection type, model, Android version, screen dimensions

Example:

{}

autoglm_task

Execute a task on a connected device using AutoGLM online model. The model will iteratively capture screenshots, analyze the screen, and execute actions until the task is complete.

Parameters:

  • prompt (string, required): Natural language task description (1-5000 characters)
  • device_id (string, optional): Target ADB device ID
  • max_steps (number, optional): Maximum steps to execute (default: 100, range: 1-200)
  • lang ('cn' | 'en', optional): Language for responses (default: 'cn')

How it works:

  1. Captures the current screen via ADB
  2. Sends the screen image and task prompt to AutoGLM online model
  3. The model analyzes the screen and decides on the next action
  4. Executes the action via ADB
  5. Repeats until the task is complete or max_steps is reached

Example:

{
  "prompt": "Open WeChat and send a message to Mom saying hello",
  "max_steps": 50,
  "lang": "cn"
}

Supported Actions

The AutoGLM model can execute the following actions:

Action Description Parameters
Launch Launch an application app_name
Tap Tap at coordinates x, y (0-1000 scale)
Type Type text text
Type_Name Type text by name text
Swipe Swipe between coordinates x1, y1, x2, y2, duration
Back Go back -
Home Go to home screen -
Double Tap Double tap at coordinates x, y
Long Press Long press at coordinates x, y, duration
Wait Wait for duration duration (ms)
Take_over Request human takeover reason
Note Add a note text
Call_API Call an API endpoint endpoint, params
Interact Interact with UI element element, action

Coordinate System

All coordinates use a 0-1000 scale relative to screen size:

  • (0, 0) is top-left corner
  • (1000, 1000) is bottom-right corner

Project Structure

autoglm-mcp-server/
├── src/
│   ├── index.ts                    # Main server entry point
│   ├── constants.ts                # Configuration constants
│   ├── types.ts                    # TypeScript type definitions
│   ├── tools/
│   │   └── autoglm-tools.ts        # MCP tool implementations
│   ├── services/
│   │   ├── autoglm-api-client.ts   # AutoGLM API client
│   │   ├── autoglm-client.ts       # AutoGLM client wrapper
│   │   └── adb-service.ts          # ADB device service
│   └── schemas/
│       └── index.ts                # Zod validation schemas
├── dist/                           # Compiled output
├── package.json
├── tsconfig.json
├── .env.example
└── README.md

HTTP/SSE Authentication

When using HTTP or SSE transport, you can pass the API key via the Authorization header:

# Bearer token format
curl -X POST http://localhost:3000/mcp \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"initialize",...}'

References

License

MIT

from github.com/DarkNoah/autoglm-mcp-server

Install Autoglm Server in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install autoglm-mcp-server

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add autoglm-mcp-server -- npx -y autoglm-mcp-server

FAQ

Is Autoglm Server MCP free?

Yes, Autoglm Server MCP is free — one-click install via Unyly at no cost.

Does Autoglm Server need an API key?

No, Autoglm Server runs without API keys or environment variables.

Is Autoglm Server hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Autoglm Server in Claude Desktop, Claude Code or Cursor?

Open Autoglm Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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