AI & MLAuto-generated
Amazon Machine Learning MCP Server
Definition of the public APIs exposed by Amazon Machine Learning
Quick Setup
Transport: STDIO
Command: npx -y @mcp/amazonaws-com-machinelearning
Environment Variables
AMAZON_MACHINE_LEARNING_API_KEYExample: your_amazon_machine_learning_api_key
MCP Server Configuration
Add this to your claude_desktop_config.json or Cursor MCP settings.
{
"mcpServers": {
"amazonaws-com-machinelearning": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-machinelearning"],
"env": {
"AMAZON_MACHINE_LEARNING_API_KEY": "your_amazon_machine_learning_api_key"
}
}
}
}Endpoints
POST
/#X-Amz-Target=AmazonML_20141212.AddTagsAddTags
POST
/#X-Amz-Target=AmazonML_20141212.CreateBatchPredictionCreateBatchPrediction
POST
/#X-Amz-Target=AmazonML_20141212.CreateDataSourceFromRDSCreateDataSourceFromRDS
POST
/#X-Amz-Target=AmazonML_20141212.CreateDataSourceFromRedshiftCreateDataSourceFromRedshift
POST
/#X-Amz-Target=AmazonML_20141212.CreateDataSourceFromS3CreateDataSourceFromS3
POST
/#X-Amz-Target=AmazonML_20141212.CreateEvaluationCreateEvaluation
POST
/#X-Amz-Target=AmazonML_20141212.CreateMLModelCreateMLModel
POST
/#X-Amz-Target=AmazonML_20141212.CreateRealtimeEndpointCreateRealtimeEndpoint
POST
/#X-Amz-Target=AmazonML_20141212.DeleteBatchPredictionDeleteBatchPrediction
POST
/#X-Amz-Target=AmazonML_20141212.DeleteDataSourceDeleteDataSource