Observed Signal · Jul 28, 2026 · Technical Release · Source: DEV Community · Impact: 4/5 · Sentiment: Positive

Large Language Models (LLM) & AI Market: Building AI Agents with Kotlin ADK

Zusammenfassung des Signals

This tutorial demonstrates a starter "Hello World" AI agent built with the Kotlin Agent Development Kit (ADK). The sample project (on GitHub) shows a Kotlin LlmAgent configured to use Google's Gemini model and to discover and call a local "greet" tool via a Model Context Protocol (MCP) Ktor server. The repo includes two Gradle modules (agent and server), uses Kotlin 2.3.0, Kotlin ADK SDK v0.6.0, MCP Kotlin SDK v0.8.1, Ktor 3.0.0, Java 25, and Gradle 9.2.1. The tutorial covers local runs, unit tests, an MCP smoke test that does not require a Gemini API key, and instructions to containerize and deploy the MCP server to Google Cloud Run.

Polaris7 AgentStrategische Einordnung
Hohe Konfidenz

Google's ADK and the Kotlin SDK provide developer tooling for building agentic applications that integrate Gemini and Google Cloud services; this enables JVM-based agent development and could accelerate adoption of agent-driven conversational tooling and integrations.

Wichtigste Kernpunkte & Evidenz

  • Tutorial demonstrates a Kotlin ADK LlmAgent that uses Gemini and discovers a local 'greet' tool via Model Context Protocol (MCP).
  • Kotlin ADK SDK version referenced: com.google.adk:google-adk-kotlin-core v0.6.0.
  • MCP Kotlin SDK version referenced: io.modelcontextprotocol:kotlin-sdk-jvm v0.8.1.
  • Project technology stack: Kotlin 2.3.0, Ktor 3.0.0, Java 25, Gradle 9.2.1.
  • The sample includes instructions to deploy the Ktor MCP server container to Google Cloud Run and to run the agent locally or against the deployed service.
Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: DEV CommunityPublished: Jul 28, 2026
Original Coverage Title: Building AI Agents with the Kotlin Agent Development Kit (ADK)

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