对象存储服务MCP Server

Name: 对象存储服务MCP Server
Author: FunnyPuppet

@FunnyPuppet

代码仓库

基本信息

分类

文件与存储

许可证

MIT

传输方式

stdio

作者

FunnyPuppet

关于对象存储服务MCP Server

MCP server for object storage, supporting a range of operations for object storage

#mcp-s3-server#object-storage #cloud-storage

对象存储服务MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "bilibili": {
      "command": "uv",
      "args": [
        "--directory",
        "/your-project-path/src/s3-server",
        "run",
        "server.py"
      ],
      "env": {
        "ENDPOINT": "endpoint",
        "ACCESS_KEY_ID": "your access key",
        "ACCESS_KEY_SECRET": "your access secret"
      }
    }
  }
}

对象存储服务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 对象存储服务MCP?

对象存储服务MCP is an MCP (Model Context Protocol) server that provides a set of operations for managing object storage services. It allows AI assistants to interact with an S3-compatible object storage system through standard MCP interfaces, targeting developers building AI-powered storage management workflows.

How to use 对象存储服务MCP?

Clone the repository, install dependencies with uv sync, then configure the server in an MCP client by adding

文件与存储分类下的更多 MCP 服务器

Sample S3 Model Context Protocol Server

aws-samples

MCP File System Server

MarcusJellinghaus

MCP Workspace Server: A secure Model Context Protocol server providing file, git, and GitHub tools for AI assistants within a sandboxed project directory.

Filesystem

chrisdoc

Manage your Hevy workouts, routines, folders, and exercise templates. Create and update sessions faster, organize plans, and search exercises to build workouts quickly. Stay synced with changes so your training log is always up to date.

310

DeviceLink

Jayanka Sampath

DeviceLink lets you share folders from your computer with AI assistants, securely and in real-time. Nothing is uploaded. Your files stay on your machine, and are only accessible while the device sharing them is connected

PDF Reader MCP Server (@sylphlab/pdf-reader-mcp)

sylphlab

📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor, VS Code, and any MCP client.

810

关于 对象存储服务MCP Server