
Model Context Protocol (MCP) Server
The Model Context Protocol (MCP) Server bridges AI assistants with external data sources, APIs, and services, enabling streamlined integration of complex workfl...
Accelerate Spring Boot backend development by letting your AI assistant instantly generate fully configured projects using the Spring Initializr MCP Server.
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.
No information about prompt templates is provided in the repository.
No explicit resources (in the MCP sense) are listed or described in the provided repository content.
No setup instructions for Windsurf are provided in the repository.
Download the appropriate binary for your platform from the releases page.
Locate your Claude Desktop configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%/Claude/claude_desktop_config.json
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.)
Save the configuration file and restart Claude Desktop.
Verify by requesting a Spring Boot project from your AI assistant.
No setup instructions for Cursor are provided in the repository.
No setup instructions for Cline are provided in the repository.
No section or example for securing API keys or using environment variables is present in the repository.
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:
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.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | |
List of Prompts | ⛔ | No prompts documented |
List of Resources | ⛔ | No resources documented |
List of Tools | ✅ | Project generation, dependency management, dynamic metadata |
Securing API Keys | ⛔ | No 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.
Has a LICENSE | ✅ (MIT) |
---|---|
Has at least one tool | ✅ |
Number of Forks | 0 |
Number of Stars | 0 |
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.
It provides binaries for Linux, Windows, and macOS, ensuring reliable cross-platform project generation.
Download the binary, update your Claude config file with the server entry and path to the binary, then restart Claude Desktop.
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.
Yes, it supports dynamic dependency selection, fetching up-to-date metadata, and adding popular Spring Boot dependencies automatically to your generated projects.
No, the provided repository and documentation do not mention API key management or environment variable support.
Typical use cases include bootstrapping new Spring Boot applications, rapid prototyping, automated onboarding for teams or bots, and experimenting with different dependencies and configurations.
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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