Amazon S3

v1.0.0Cloud Servicesstable

MCP server for amazon s3

cloud-platforms
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What is Amazon S3?

Amazon S3 is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for amazon s3

MCP server for amazon s3

This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for amazon s3

Use Cases

Cloud file storage
Object storage and retrieval
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y amazon-s3

Manual Installation

npx -y amazon-s3

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Amazon S3

What is Amazon S3?

Amazon S3 is a Model Context Protocol (MCP) server that mcp server for amazon s3 It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Amazon S3?

Install via npm with the command: npx -y amazon-s3. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Amazon S3?

Amazon S3 works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Amazon S3 free to use?

Yes, Amazon S3 is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Cloud Services MCP Servers

Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "amazon-s3": { "command": "npx", "args": ["-y", "amazon-s3"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Amazon S3?

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