MCP S3 Server
MCP is a Python-based object storage service protocol that supports basic operation management of buckets and objects.
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What is the MCP Object Storage Service?
The MCP Object Storage Service is a lightweight cloud storage solution that supports basic cloud storage operations such as creating buckets, uploading/downloading files, and managing objects. It uses a simple command-line interface and is suitable for individuals and small teams.How to use the MCP Object Storage Service?
You can manage your cloud storage space through a simple command-line tool. First, configure the server connection information, and then use various commands to manage your buckets and files.Use Cases
Suitable for individual developers and small project teams who need a simple cloud storage solution, or for use as a development and testing environment.Main Features
Bucket ManagementCreate and delete buckets, and check if a bucket exists
Object OperationsUpload, download, and delete file objects, and get object metadata
List QueriesList all buckets or objects in a specific bucket
Advantages and Limitations
Advantages
Lightweight, easy to deploy and use
Simple and intuitive command-line interface
Supports basic cloud storage operations
Suitable for individuals and small teams
Limitations
Relatively basic features, lacking advanced cloud storage functions
Performance may be inferior to commercial cloud storage services
Lacks a graphical user interface
How to Use
Install Project Dependencies
Ensure that Python 3.11 or a higher version is installed, and then run the dependency installation command
Configure the MCP Client
Set the server connection information in the configuration file, including the endpoint, access key, etc.
Start and Use the Service
Run the configured command to start the service, and then you can use various storage operation commands
Usage Examples
Backup Personal ProjectsRegularly back up locally developed project files to the MCP object storage
Share Team DocumentsTeam members can upload and download shared documents
Frequently Asked Questions
How to obtain the access key?
What is the maximum file size supported for upload?
How to ensure data security?
Related Resources
Python Official Website
Download the Python runtime environment
UV Tool Documentation
Learn how to use the UV tool
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