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How to Connect Your Android App to Gemini with Android MCP

Step-by-step guide to sharing your Android app capabilities with Gemini and Search using Android MCP and the Connected Apps Platform preview.

November 7, 2026 Yum News

Users now ask Gemini to complete multi-step tasks that cross several apps. Android gives developers a way to participate through Android MCP and the Connected Apps Platform.

Android MCP, powered by the AppFunctions Jetpack library, lets your app expose tools that on-device agents and system agents can call. The Connected Apps Platform preview then surfaces those capabilities in Gemini and Google Search.

Android phone showing AI and app interfaces

Why Android MCP and Connected Apps Matter

The Android intelligence system supports both prompted assistance (the user asks for a goal) and proactive assistance. Agents can orchestrate tools across apps. For reliable local execution, especially with sensitive data or device hardware, Google recommends Android MCP.

Remote MCP servers still work for cross-platform reach. Android MCP is the preferred path when the journey stays on the device, uses end-to-end encryption, or needs sensors.

AppFunctions is now in beta. The Connected Apps Platform is in preview. You can prototype today with Gemini developer mode before joining the production preview program.

Prerequisites

An Android project that already uses Jetpack.
The AppFunctions Jetpack library dependency.
A Google account for Gemini developer mode testing.
Familiarity with defining tool schemas that describe what your app can do.

Update your project to a recent Android Gradle Plugin version supported by the current stable Android Studio.

Step-by-Step: Expose Capabilities with AppFunctions

Add the AppFunctions dependency to your module build.gradle.

implementation("androidx.appfunctions:appfunctions:1.0.0-beta01") // check latest

Define functions your app can perform. Create a class that implements the required interfaces or uses the annotation-based approach shown in the official samples. Each function needs a clear name, description, and parameter schema so agents understand when to call it.
Register the functions with the system so Android MCP can discover them. Follow the AppFunctions documentation for the exact registration call in your Application or service class.
Test locally. Open the Gemini app in developer mode on a test device. Ask a prompt that should trigger your function (for example, “Book a ride home and message my ETA” if you exposed calendar and messaging tools). Confirm the agent calls your app correctly.
For production distribution across Gemini and Search, sign up for the Connected Apps Platform preview through the Google Connected Console. The preview currently prioritises apps ready for supported categories.

Building a Remote MCP Server as an Alternative

If your capabilities need to run on a server (shared across platforms), implement a remote MCP server that follows the protocol. Agents can call it over the network. Combine it with Android MCP for hybrid flows where some steps stay on-device.

The official Android Dev Summit Connected App demo shows both paths. Start with Android MCP for most phone-centric features.

Tips for Reliable Agent Integration

Write precise function descriptions. Agents choose tools based on the text you provide. Ambiguous names lead to missed calls or incorrect parameters.

Include guardrails. The ML Kit Agentic API (alpha) demonstrates automatic guardrails for on-device agents. Apply similar validation in your AppFunctions before executing side effects.

Test with real user language. Prompt variations matter. Use Gemini developer mode to try several phrasings of the same goal.

Monitor token and latency impact. On-device execution with Gemini Nano 4 is faster and more private for many tasks, but complex multi-app flows may still benefit from cloud models via Firebase AI Logic.

Link related work in your app. If you already expose AppFunctions, the same functions power both in-app agents and the system agent. See the existing guide on adding AppFunctions to an Android app.

Developer reviewing code on dual monitors

Current Limitations

The Connected Apps Platform remains in preview. Not every app category is open yet. Production registration requires joining the waitlist.

Gemini Nano 4 powers the new ML Kit Agentic API, which is still alpha. Function calling on-device works, but you should expect API changes.

Agents may fall back to Computer Control if your app does not expose the needed tools. Explicit AppFunctions give more reliable results.

Conclusion

Android MCP and the Connected Apps Platform let your app become part of the multi-step workflows users already request from Gemini. Start by defining clear AppFunctions, test them in Gemini developer mode, and prepare for the preview program. The same investment also strengthens any on-device agent you build inside your own app.