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Spring Boot AI Cloudflare R2 MCP Server

@lskun

代码仓库

基本信息

分类

云与基础设施

传输方式

stdio

作者

lskun

关于 Spring Boot AI Cloudflare R2 MCP Server

Spring Boot AI Cloudflare R2 MCP Server - 一个基于Spring Boot和Spring AI的Cloudflare R2对象存储MCP服务器实现

#spring-boot#cloudflare#mcp-server

Spring Boot AI Cloudflare R2 MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Spring Boot AI Cloudflare R2 MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Spring Boot AI Cloudflare R2 MCP Server?

Spring Boot AI Cloudflare R2 MCP Server is a Model Context Protocol (MCP) server implementation built with Spring Boot and Spring AI that provides integration with Cloudflare R2 object storage service. It is intended for developers who need to manage Cloudflare R2 buckets and objects through an MCP-compatible interface.

How to use Spring Boot AI Cloudflare R2 MCP Server?

Clone the repository, set environment variables R2_ACCESS_KEY_ID, R2_SECRET_ACCESS_KEY, and R2_ENDPOINT, then build with mvn clean package. Use mvn test -Dtest=R2ServiceClientTest to run integration tests.

Key features of Spring Boot AI Cloudflare R2 MCP Server

  • Complete Cloudflare R2 object storage operation support
  • Integration with Spring AI’s MCP server
  • Support for text, binary, and other file types
  • Comprehensive test coverage for all operations
  • Bucket and object CRUD management

Use cases of Spring Boot AI Cloudflare R2 MCP Server

  • Listing, creating, and deleting R2 buckets
  • Uploading and downloading objects to/from R2 buckets
  • Listing objects and retrieving object metadata
  • Deleting objects from a bucket
  • Automating R2 storage tasks via MCP client interactions

常见问题

1

What are the prerequisites for using this server?

JDK 17 or above, Maven 3.6 or above, and a Cloudflare R2 account with access credentials.

2

How do I configure the R2 credentials?

Set the environment variables `R2_ACCESS_KEY_ID`, `R2_SECRET_ACCESS_KEY`, and `R2_ENDPOINT`, or provide them in `application.properties`.

3

What operations does the server support?

It supports listing, creating, and deleting buckets; uploading, downloading, listing, and deleting objects; and retrieving object metadata.

4

Does the server include tests?

Yes, comprehensive integration tests for all R2 operations are provided in `R2ServiceClientTest`.

5

What is the project license?

The project is licensed under the MIT License.

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