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AWS Labs MCP

AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.

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GitHub Stars

Forks676
Issues192
Last Updated3 hours ago
Languagepython
LicenseApache License 2.0

🚀 Installation & Setup

Quick Install

# Clone the repository
git clone https://github.com/awslabs/mcp
cd mcp

# Install dependencies
pip install -r requirements.txt

# Run the server
python main.py

Prerequisites

  • Node.js 18+ or Python 3.8+ (depending on implementation)
  • MCP-compatible client (Claude Desktop, Continue, etc.)
  • Basic understanding of Model Context Protocol

⚙️ Configuration

MCP Settings Configuration

{
  "mcpServers": {
    "aws-labs-mcp": {
      "command": "node",
      "args": ["path/to/aws-labs-mcp/dist/index.js"],
      "env": {
        "API_KEY": "your-api-key-here",
        "DEBUG": "false"
      }
    }
  }
}

Environment Variables

Set these environment variables based on your needs:

  • • API_KEY - Your API key (if required)
  • • DEBUG_MODE - Enable debug logging
  • • TIMEOUT - Request timeout in seconds

💡 Usage Examples

Basic Usage

// Example: Upload file to cloud storage
const uploadResult = await mcpClient.callTool('upload', {
  file: 'local-file.pdf',
  bucket: 'my-bucket',
  key: 'documents/file.pdf'
});

console.log('File uploaded:', uploadResult.url);

Integration Guide

This MCP server can be integrated into various AI applications and workflows. Check the GitHub repository for detailed integration examples and API documentation.

View Documentation

📊 Quick Stats

Categorycloud
Languagepython
RepositoryGitHub →
Size20.8K KB

👥 Contributors

scottschreckengaust117 contributions
awslabs-mcp114 contributions
dependabot[bot]26 contributions
alexa-perlov21 contributions
krokoko21 contributions

🚀 Latest Release

2025.07.2025073123163218 hours ago

2025.07.20250731231632

View Release →

❓ FAQ

Which cloud providers are supported?
Support varies by server, but most work with major providers like AWS, Google Cloud, and Microsoft Azure.
How is billing handled?
The MCP server itself is free, but you pay for cloud resources used. Monitor usage to control costs.
Is auto-scaling available?
Many cloud MCP servers support auto-scaling features to automatically adjust resources based on demand.

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