Hands-On: Building MCP Servers and Clients in Java
Introduction
The Model Context Protocol (MCP) has emerged as a standard way to connect AI models with external tools and data sources. If you’re a Java developer looking to integrate MCP into your applications, this hands-on guide will walk you through building both servers and clients.
MCP enables LLMs to interact with your Java services in a standardized way, making it easier to expose tools, resources, and prompts to AI applications.
What is MCP?
MCP is an open protocol that standardizes how applications provide context to LLMs. It defines a client-server architecture where:
- Servers expose tools, resources, and prompts
- Clients connect to servers and request access to these capabilities
Setting Up Your Java Project
Let’s start with a Spring Boot project structure:
1 | // pom.xml dependencies |
Building an MCP Server
Here’s how to create a basic MCP server in Java:
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Creating an MCP Client
The client connects to servers and invokes tools:
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Key Takeaways
- MCP provides a standardized way to connect LLMs with Java services
- Servers expose tools and resources; clients consume them
- Spring Boot makes MCP integration straightforward
- The protocol enables secure, structured communication between AI and your applications