Spring Ai Mcp Client

spring-ai-mcp-client

The Model Context Protocol (MCP) client application utilizes Spring AI and Anthropic Claude models (Or OpenAI). It integrates with MCP protocol-supported servers to enable AI-powered chat interactions.

What is Spring MCP Client

The MCP Client is a key component in the Model Context Protocol (MCP) architecture, responsible for establishing and managing connections with MCP servers. It implements the client-side of the protocol, handling:

- Protocol version negotiation to ensure compatibility with servers
- Capability negotiation to determine available features
- Message transport and JSON-RPC communication
- Tool discovery and execution
- Resource access and management
- Prompt system interactions
- Optional features like roots management and sampling support
- Supports openai and anthropic models

Requirements

Java 17+
Maven or Gradle
Docker (Optional)
Anthropic API key Or OpenAI API key

• Anthropic API key from the Anthropic Console.
• OpenAI API key from the OpenAI Console.

Installation

1. Clone Repository

    git clone 
    cd spring-ai-mcp-client

2. MCP Server Configuration

The MCP server information must be added to the mcp-servers.json file as follows.

{
    "mcpServers":{
        "any-mcp-server":{
          "command":"node",
          "args":[
            "any-mcp-server/build/index.js"
          ]
        }
    }
}

3. Spring Configuration

The application.yml file should be configured as follows:

spring:
  ai:
    mcp:
      client:
        enabled: true
        name: any-mcp-server # MCP server name
        version: 1.0.0
        type: SYNC
        request-timeout: 20s
        stdio:
          root-change-notification: true
          servers-configuration: classpath:mcp-servers.json # MCP server c