Autoglm

Android screen analysis capabilities via MCP protocol.

Installation

Option 1: Using uvx (Recommended)

No manual installation required. Just add to AI agent MCP config:

{
  "mcpServers": {
    "autoglm-mcp": {
      "command": "uvx",
      "args": ["autoglm-mcp"],
      "env": {
        "AUTOGLM_BASE_URL": "https://api.z.ai/api/paas/v4",
        "AUTOGLM_MODEL": "autoglm-phone-multilingual",
        "AUTOGLM_APIKEY": "your-api-key-here"
      }
    }
  }
}

Option 2: pip install

pip install autoglm-mcp

Then configure AI agent MCP:

{
  "mcpServers": {
    "autoglm-mcp": {
      "command": "autoglm-mcp",
      "env": {
        "AUTOGLM_BASE_URL": "https://api.z.ai/api/paas/v4",
        "AUTOGLM_MODEL": "autoglm-phone-multilingual",
        "AUTOGLM_APIKEY": "your-api-key-here"
      }
    }
  }
}

Environment Variables

Variable	Description	Default
AUTOGLM_APIKEY	API key (required)	-
AUTOGLM_BASE_URL	API endpoint	https://api.z.ai/api/paas/v4
AUTOGLM_MODEL	Model name	autoglm-phone-multilingual

Usage

Ensure your phone is connected via ADB, then use the aiAsk tool in AI agent:

• "What are the coordinates to click the search button?"
• "How do I open Settings?"

Local Development & Debugging

Prerequisites

• Python >= 3.10
• Node.js >= 18 (for MCP Inspector)
• ADB installed and phone connected (adb devices shows your device)

Install from Source

cd mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

MCP Inspector (Recommended)

MCP Inspector is the official visual debugging tool for MCP servers — like Postman for MCP.

npx @modelcontextprotocol/inspector \
  -e AUTOGLM_APIKEY="your-api-key-here" \
  -e AUTOGLM_BASE_URL="https://api.z.ai/api/paas/v4" \
  -e AUTOGLM_MODEL="autoglm-phone-multilingual" \
  -- \
  /path/to/file/mcp/.venv/bin/python -m autoglm_mcp.server

Then open http://localhost:6274 in your browser:

1. Click Connect to connect to the server
2. Switch to the Tools tab — you should see the aiAsk tool
3. Enter a question (e.g. "What is on the screen?") and click Run Tool
4. Inspect the JSON-RPC request/response in the left panel

Use local mcp server

"autoglm-mcp": {
  "command": "/path/to/file/mcp/.venv/bin/python",
  "args": [
    "-m",
    "autoglm_mcp.server"
  ],
  "env": {
    "AUTOGLM_BASE_URL": "https://api.z.ai/api/paas/v4",
    "AUTOGLM_MODEL": "autoglm-phone-multilingual",
    "AUTOGLM_APIKEY": "xxx"
  }
}