sample serverless s
pipStandardSample serverless MCP server for AI agents on AWS. Provides sample implementations of AI agents and MCP servers using AWS Lambda and API Gateway. Connects to AWS services like S3, DynamoDB, and SQS. Useful for developers building serverless AI applications on AWS.
228300Updated 2 weeks ago
Overview
Sample serverless MCP server for AI agents on AWS. Provides sample implementations of AI agents and MCP servers using AWS Lambda and API Gateway. Connects to AWS services like S3, DynamoDB, and SQS. Useful for developers building serverless AI applications on AWS.
Installation
1Install the package
pip
pip install sample-serverless-mcp-servers2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"aws-samples-sample-serverless-mcp-servers-github": {
"command": "uvx",
"args": [
"pip install sample-serverless-mcp-servers"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from sample serverless s?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in sample serverless s?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in sample serverless s"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in sample serverless s with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with sample serverless s
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