HarmonyOS MCP Server
@XixianLiang
关于 HarmonyOS MCP Server
MCP server for manipulating HarmonyOS next devices.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"HarmonyOS-mcp-server": {
"command": "uv",
"args": [
"python",
"install",
"3.13"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is HarmonyOS MCP Server?
This is an MCP server for manipulating HarmonyOS devices. It provides tools that allow AI agents to control a HarmonyOS device programmatically.
How to use HarmonyOS MCP Server?
Clone the repository, install Python 3.13 via uv, and run uv sync. Use the server with Claude Desktop, OpenAI Agents SDK, or LangGraph (Langchain) by running uv run server.py and configuring your SDK accordingly.
Key features of HarmonyOS MCP Server?
- Provides MCP tools to manipulate HarmonyOS devices
- Integrates with Claude Desktop, OpenAI SDK, and LangGraph
- Supports a customizable system prompt for AI assistants
- Requires Python 3.13 and uv for setup
Use cases of HarmonyOS MCP Server?
- Launch an app on a HarmonyOS phone using natural language
- Automate device tasks through an AI agent workflow
- Integrate HarmonyOS device control into LangGraph agents
FAQ from HarmonyOS MCP Server
What devices can I control with HarmonyOS MCP Server?
The server is designed for manipulating HarmonyOS devices, such as launching apps.
How do I install HarmonyOS MCP Server?
Clone the repo and run uv python install 3.13 and uv sync to set up the environment.
What are the runtime requirements?
Python
其他 分类下的更多 MCP 服务器
Mcp
browsermcpBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Reactive Resume
amruthpillaiA one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
ghidraMCP
LaurieWiredMCP Server for Ghidra
Maestro
mobile-dev-incPainless E2E Automation for Mobile and Web
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
评论