Autoglm Server
FreeNot checkedEnables AI models to control Android devices via ADB through natural language commands, supporting screen analysis and automated actions.
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 IDmax_steps(number, optional): Maximum steps to execute (default: 100, range: 1-200)lang('cn' | 'en', optional): Language for responses (default: 'cn')
How it works:
- Captures the current screen via ADB
- Sends the screen image and task prompt to AutoGLM online model
- The model analyzes the screen and decides on the next action
- Executes the action via ADB
- 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
Install Autoglm Server in Claude Desktop, Claude Code & Cursor
unyly install autoglm-mcp-serverInstalls 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-serverFAQ
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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