phone-mcp-server

phone-mcp-server

Enables AI agents to control Android phones via MCP and HTTP. Supports screen capture, taps, swipes, text input, and app management.

Category
访问服务器

README

phone-mcp-server

Standalone MCP + HTTP server for controlling Android phones from any AI agent.

Works with Claude Desktop, Claude Code, OpenAI Codex CLI, GPT agents (via OpenAI API), Gemini, LangChain, AutoGen, CrewAI, Open Interpreter, or any HTTP client.

How It Works

┌──────────────────────────────────────────────────┐
│  Any AI Agent                                    │
│                                                  │
│  Claude ──── MCP (stdio) ──┐                     │
│  Codex ──── MCP (stdio) ───┤                     │
│                            ▼                     │
│                     ┌──────────────┐             │
│                     │  MCP Server  │             │
│                     │  mcp_server  │             │
│                     └──────┬───────┘             │
│                            │                     │
│  GPT ──── HTTP ────┐       │                     │
│  Gemini ── HTTP ───┤       │                     │
│  Custom ── HTTP ───┤       │                     │
│                    ▼       ▼                     │
│              ┌─────────────────┐                 │
│              │  phone_control  │                 │
│              │  (core package) │                 │
│              └────────┬────────┘                 │
│                       │                          │
│              ADB  ────┤──── Appium (optional)    │
│                       │                          │
├───────────────────────┼──────────────────────────┤
│  Android Emulator     │                          │
└───────────────────────┴──────────────────────────┘

Requirements

  • Python 3.10+
  • Android SDK Platform Tools (adb on PATH)
  • A running Android emulator or device

Optional (for Unicode text input and WebView support):

  • Appium (npm install -g appium)
  • Appium Python client (pip install Appium-Python-Client)

Install

git clone https://github.com/Ctrl-Creeper/phone-mcp-server.git
cd phone-mcp-server
pip install .

# With Appium support
pip install ".[appium]"

Quick Start

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "phone-control": {
      "command": "python",
      "args": ["/path/to/phone-mcp-server/mcp_server.py"]
    }
  }
}

Claude Code

claude mcp add phone-control python /path/to/phone-mcp-server/mcp_server.py

OpenAI Codex CLI

codex --mcp-config codex-mcp.json

Create codex-mcp.json:

{
  "mcpServers": {
    "phone-control": {
      "command": "python",
      "args": ["/path/to/phone-mcp-server/mcp_server.py"]
    }
  }
}

OpenAI API / GPT Agents

Start the HTTP server, then fetch the tool schema:

python http_server.py
import requests, openai

tools = requests.get("http://localhost:8080/openai/tools").json()

response = openai.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Open Settings on the phone"}],
    tools=tools,
)

tool_call = response.choices[0].message.tool_calls[0]
result = requests.post("http://localhost:8080/openai/call", json={
    "name": tool_call.function.name,
    "arguments": tool_call.function.arguments,
}).json()

Google Gemini

import requests, google.generativeai as genai

tools_schema = requests.get("http://localhost:8080/openai/tools").json()

# Convert to Gemini format
gemini_tools = []
for t in tools_schema:
    f = t["function"]
    gemini_tools.append(genai.types.Tool(
        function_declarations=[genai.types.FunctionDeclaration(
            name=f["name"],
            description=f["description"],
            parameters=f["parameters"],
        )]
    ))

model = genai.GenerativeModel("gemini-2.0-flash", tools=gemini_tools)
chat = model.start_chat()
response = chat.send_message("Open the camera app")

# Execute the function call
fc = response.candidates[0].content.parts[0].function_call
result = requests.post("http://localhost:8080/openai/call", json={
    "name": fc.name,
    "arguments": dict(fc.args),
}).json()

LangChain

import requests
from langchain_core.tools import StructuredTool

def phone_action(action: str, **kwargs):
    return requests.post(f"http://localhost:8080/phone/{action}", json=kwargs).json()

# Or dynamically load from schema
tools_schema = requests.get("http://localhost:8080/openai/tools").json()

Any HTTP Client (curl)

# Capture UI hierarchy
curl -s localhost:8080/phone/capture -d '{"mode":"hierarchy"}' | jq .

# Tap element #3
curl -s localhost:8080/phone/tap -d '{"element":3}' | jq .

# Type text
curl -s localhost:8080/phone/type -d '{"text":"hello world"}' | jq .

# Get device info
curl -s -X POST localhost:8080/phone/device_info | jq .

# Fetch OpenAI tool schema
curl -s localhost:8080/openai/tools | jq .

Exposed Tools (15)

Tool Description
phone_capture Capture screen (hierarchy / screenshot / both)
phone_tap Tap by element index or coordinates
phone_double_tap Double-tap
phone_long_press Long-press (configurable duration)
phone_swipe Swipe by direction or coordinates
phone_type Type text (Unicode via Appium hybrid)
phone_clear_text Clear text field
phone_set_text Clear + type new text
phone_keyevent Send key event (BACK, HOME, ENTER, etc.)
phone_launch_app Launch app by package name
phone_stop_app Force-stop app
phone_list_apps List installed apps
phone_current_app Get foreground app
phone_device_info Device model, screen size, Android version
phone_wait Wait N seconds

Configuration

Environment Variable Description Default
HERMES_PHONE_BACKEND adb, hybrid, or noop adb
ANDROID_SERIAL Device serial (auto-detected if one device)
APPIUM_PORT Appium server port (hybrid backend) 4723
PHONE_POLICY_PATH Path to phone-policy.yaml auto-search
MCP_SERVER_PORT MCP SSE server port 8765
PHONE_HTTP_PORT HTTP server port 8080

Policy Engine

The phone policy (phone-policy.yaml) controls what actions the agent can perform on which apps. Place it at ~/.hermes/phone-policy.yaml or set PHONE_POLICY_PATH.

See the virtual-phone-agent repo for the full policy reference and examples.

Security

  • All ADB commands use argument-list subprocess (no shell injection)
  • install_apk and shell are blocked over HTTP API
  • Policy engine enforces per-app action restrictions
  • Phone content is untrusted data — never treated as instructions
  • Input sanitization: shell metachar rejection, keycode allowlist, coordinate bounds, text length limits

License

AGPL-3.0

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选