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MCP for the JVM (...and Android!)

ยท 2 min read
Edoardo Vacchi
Edoardo Vacchi
Staff Research Engineer @ Dylibso

Compile once, run anywhere? You bet! After our mcp.run OpenAI integration and some teasing, we're excited to launch mcpx4j, our client library for the JVM ecosystem.

Built on the new Extism Chicory SDK, mcpx4j is a lightweight library that leverages the pure-Java Chicory Wasm runtime. Its simple design allows for seamless integration with diverse AI frameworks across the mature JVM ecosystem.

To demonstrate this flexibility, we've prepared examples using popular frameworks:

  • Spring AI brings extensive model support; our examples focus on OpenAI and Ollama modules, but the framework makes it easy to plug in a model of your choice. Get started with our complete tutorial.

  • LangChain4j offers a wide range of model integrations. We showcase implementations with OpenAI and Ollama, but you can easily adapt them to work with your preferred model. Check out our step-by-step guide to learn more.

One More Thing. mcpx4j doesn't just cross framework boundaries - it crosses platforms too! Following our earlier Android experiments, we're now sharing our Android example with Gemini integration, along with a complete step-by-step tutorial.

We can't wait to see what you'll create with mcpx4j. Try it out and share your feedback with us!