Spring Initializr MCP Server

Accelerate Spring Boot backend development by letting your AI assistant instantly generate fully configured projects using the Spring Initializr MCP Server.

Spring Initializr MCP Server

What does “Spring Initializr” MCP Server do?

The Spring Initializr MCP Server is an MCP (Model Context Protocol) server that wraps the Spring Initializr API, empowering AI assistants to generate and download Spring Boot projects programmatically. Instead of manually configuring new Spring Boot projects on start.spring.io, developers can request AI assistants such as Claude to create projects with specific dependencies, Java versions, build tools, and project metadata. The server handles project creation, supports flexible configurations including Maven/Gradle, Java/Kotlin/Groovy languages, and manages dependency selection. This streamlines backend development workflows, making it easier and faster to bootstrap new Spring Boot applications directly from within your AI or code environment.

List of Prompts

No information about prompt templates is provided in the repository.

List of Resources

No explicit resources (in the MCP sense) are listed or described in the provided repository content.

List of Tools

  • Project Generation Tool: Generates Spring Boot projects with custom configurations (languages, build tool, dependencies, Java versions, packaging, etc.) and downloads them as ZIP files.
  • Dependency Management Tool: Adds popular Spring Boot dependencies automatically to generated projects.
  • Dynamic Metadata Tool: Fetches and utilizes latest Spring Boot versions and dependency metadata for project creation.

Use Cases of this MCP Server

  • Spring Boot Project Bootstrapping: Instantly generate new Spring Boot applications with custom dependencies, project metadata, and preferred build tools, saving time over manual configuration.
  • Rapid Prototyping: Quickly scaffold and download ready-to-run Spring Boot starter projects for demos, hackathons, or experimentation.
  • Automated Developer Onboarding: Allow new team members or bots to set up standardized project bases with predefined settings and dependencies.
  • Dependency Experimentation: Easily compare setups with different dependency sets or Java versions for testing and validation.
  • Cross-Platform Project Generation: Use the server’s binaries on Linux, Windows, and macOS to create projects reliably across environments.

How to set it up

Windsurf

No setup instructions for Windsurf are provided in the repository.

Claude

  1. Download the appropriate binary for your platform from the releases page.

  2. Locate your Claude Desktop configuration file:

    • On macOS/Linux: ~/Library/Application Support/Claude/claude_desktop_config.json
    • On Windows: %APPDATA%/Claude/claude_desktop_config.json
  3. Add the Spring Initializr MCP Server to your configuration by editing the JSON file:

    {
      "mcpServers": {
        "springinitializr": {
          "command": "/path/to/springinitializr-mcp-binary"
        }
      }
    }
    

    (Replace the path with your actual binary location.)

  4. Save the configuration file and restart Claude Desktop.

  5. Verify by requesting a Spring Boot project from your AI assistant.

Cursor

No setup instructions for Cursor are provided in the repository.

Cline

No setup instructions for Cline are provided in the repository.

Securing API Keys

No section or example for securing API keys or using environment variables is present in the repository.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

FlowHunt MCP flow

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "springinitializr": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change "springinitializr" to whatever the actual server name is and replace the URL with your own MCP server URL.


Overview

SectionAvailabilityDetails/Notes
Overview
List of PromptsNo prompts documented
List of ResourcesNo resources documented
List of ToolsProject generation, dependency management, dynamic metadata
Securing API KeysNo API key info present
Sampling Support (less important in evaluation)Not mentioned

Based on the available documentation and features, the Spring Initializr MCP provides a focused and practical tool for Spring Boot project generation but lacks documentation for prompts, resources, key management, and advanced MCP features. Overall, it’s well-suited for its use case but limited in extensibility and documentation.

MCP Score

Has a LICENSE✅ (MIT)
Has at least one tool
Number of Forks0
Number of Stars0

Frequently asked questions

What does the Spring Initializr MCP Server do?

It lets AI assistants generate and download Spring Boot projects with custom configurations, dependencies, languages, and build tools, automating the initial setup process for backend applications.

Which platforms does the Spring Initializr MCP Server support?

It provides binaries for Linux, Windows, and macOS, ensuring reliable cross-platform project generation.

How do I add the Spring Initializr MCP Server to my Claude Desktop?

Download the binary, update your Claude config file with the server entry and path to the binary, then restart Claude Desktop.

Can I use the Spring Initializr MCP Server with FlowHunt?

Yes! Add the MCP server to your FlowHunt flow using the MCP component and configure the server details so your AI agent can generate projects programmatically.

Does the server handle dependency management?

Yes, it supports dynamic dependency selection, fetching up-to-date metadata, and adding popular Spring Boot dependencies automatically to your generated projects.

Is there support for securing API keys or environment variables?

No, the provided repository and documentation do not mention API key management or environment variable support.

What are some typical use cases?

Typical use cases include bootstrapping new Spring Boot applications, rapid prototyping, automated onboarding for teams or bots, and experimenting with different dependencies and configurations.

Boost Your Productivity with Spring Initializr MCP

Let FlowHunt and the Spring Initializr MCP Server help you create new Spring Boot projects with custom configurations in seconds, directly from your AI workflow.

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