spring-boot-ai-cloudflare-r2-mcp-server

spring-boot-ai-cloudflare-r2-mcp-server

3.2

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Spring Boot AI Cloudflare R2 MCP Server is a Model Context Protocol (MCP) server implementation based on Spring Boot and Spring AI, providing integration with Cloudflare R2 object storage service.

Spring Boot AI Cloudflare R2 MCP Server

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Introduction

Spring Boot AI Cloudflare R2 MCP Server is a Model Context Protocol (MCP) server implementation based on Spring Boot and Spring AI, providing integration with Cloudflare R2 object storage service.

Project Structure

src/main/java/com/lskun/mcp/
├── SpringBootAiCloudflareR2McpServerApplication.java (Application entry)
├── config/
│   └── McpConfiguration.java (MCP configuration class)
└── service/
    └── R2ServiceClient.java (R2 service client)

Features

  • Complete Cloudflare R2 object storage operation support
  • Integration with Spring AI's MCP server
  • Support for various file types (text, binary, etc.)
  • Comprehensive test coverage
  • Easy configuration and deployment

Prerequisites

  • JDK 17 or above
  • Maven 3.6 or above
  • Cloudflare R2 account and credentials

Configuration

Create or modify application.properties with your R2 credentials:

r2.access-key-id=${R2_ACCESS_KEY_ID}
r2.secret-access-key=${R2_SECRET_ACCESS_KEY}
r2.endpoint=${R2_ENDPOINT}

Quick Start

  1. Clone the repository:
git clone https://github.com/lskun/spring-boot-ai-cloudflare-r2-mcp-server.git
  1. Set up environment variables:
export R2_ACCESS_KEY_ID=your_access_key_id
export R2_SECRET_ACCESS_KEY=your_secret_access_key
export R2_ENDPOINT=your_r2_endpoint
  1. Build the project:
mvn clean package
  1. Run integration tests:
# Run all tests in R2ServiceClientTest
mvn test -Dtest=R2ServiceClientTest

# Or run a specific test method
mvn test -Dtest=R2ServiceClientTest#testListBuckets

The test suite includes comprehensive tests for all R2 operations:

  • Bucket operations (list, create, delete)
  • Object operations (upload, download, list, delete)
  • Content format handling (text, base64, file path)
  • Object metadata management

API Reference

The service provides the following main functionalities:

  • List buckets
  • Create/Delete buckets
  • Upload/Download objects
  • List objects in bucket
  • Get object metadata
  • Delete objects

Development

The project uses Spring Boot 3.4.4 and Spring AI 1.0.0-M6. Main components include:

  • R2ServiceClient: Core service class for R2 operations
  • McpConfiguration: MCP tool configuration
  • Integration tests for all operations

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a new Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

If you have any questions or suggestions, please feel free to create an issue.