HarmonyOS MCP Server

The HarmonyOS MCP Server is a specialized Model Context Protocol (MCP) endpoint designed to bridge AI assistants with HarmonyOS devices. By exposing a set of tools that can query device state, launch applications, and execute system commands, the server enables developers to embed real‑world device control directly into conversational agents. This solves a common pain point for mobile and IoT developers: the need to orchestrate device interactions through custom APIs or low‑level SDKs while still leveraging powerful LLM workflows.

At its core, the server provides a collection of intuitive tools that map to HarmonyOS capabilities. An AI assistant can ask the server to open a specific application, retrieve sensor data, or modify system settings, all through simple MCP calls. These tools are wrapped in JSON schemas that enforce type safety and allow agents to validate inputs before execution. The server also supplies prompt templates and sampling utilities, giving developers fine‑grained control over how the assistant constructs requests and interprets responses. The result is a seamless, declarative interface that keeps device logic out of the LLM and in well‑tested, versioned code.

Developers can integrate the HarmonyOS MCP Server into a variety of AI workflows. The README demonstrates three integration patterns: using Claude Desktop for quick experimentation, invoking the server via OpenAI’s agents SDK for production‑grade pipelines, and composing complex multi‑step conversations with LangGraph. Each pattern showcases how the same set of tools can be reused across different frameworks, making it straightforward to transition from prototyping to deployment. The server’s design encourages modularity: tools are stateless and can be composed into larger agents or orchestrated by external workflow engines.

Real‑world scenarios that benefit from this server include automated testing of HarmonyOS apps, building voice‑controlled personal assistants for smart phones, or creating remote monitoring dashboards that can adjust device settings on demand. Because the MCP interface is language‑agnostic, teams can build agents in Python, JavaScript, or any environment that supports the protocol, reducing friction when integrating with existing CI/CD pipelines.

What sets this MCP Server apart is its tight coupling to HarmonyOS’s native APIs while still adhering to the universal MCP standard. Developers gain the convenience of a single, well‑documented endpoint that abstracts away platform quirks, yet retains full control over device behavior. By exposing a rich set of tools and prompt resources, the server empowers AI assistants to move beyond textual responses and interact meaningfully with physical devices.