AI & ML

Amazon Machine Learning MCP Config

Definition of the public APIs exposed by Amazon Machine Learning

Config URL

Use this URL in any MCP-compatible client to fetch the config automatically.

https://mcp-bridge.pages.dev/config/amazonaws-com-machinelearning.json

Configuration JSON

Use curl https://mcp-bridge.pages.dev/config/amazonaws-com-machinelearning.json to fetch programmatically.

{
  "mcpServers": {
    "amazonaws-com-machinelearning": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-machinelearning"],
      "env": {
      "AMAZON_MACHINE_LEARNING_API_KEY": "your_amazon_machine_learning_api_key"
}
    }
  }
}

How to Use

Claude Desktop

Paste the config JSON into your claude_desktop_config.json.

Full instructions →

Cursor

Go to Cursor Settings → MCP Servers → Add with the JSON above.

CLI / curl

Fetch the config programmatically:

curl https://mcp-bridge.pages.dev/config/amazonaws-com-machinelearning.json

Environment Variables

AMAZON_MACHINE_LEARNING_API_KEY

Replace your_amazon_machine_learning_api_key with your actual amazon machine learning api key

Endpoints

POST/#X-Amz-Target=AmazonML_20141212.AddTags

AddTags

POST/#X-Amz-Target=AmazonML_20141212.CreateBatchPrediction

CreateBatchPrediction

POST/#X-Amz-Target=AmazonML_20141212.CreateDataSourceFromRDS

CreateDataSourceFromRDS

POST/#X-Amz-Target=AmazonML_20141212.CreateDataSourceFromRedshift

CreateDataSourceFromRedshift

POST/#X-Amz-Target=AmazonML_20141212.CreateDataSourceFromS3

CreateDataSourceFromS3

POST/#X-Amz-Target=AmazonML_20141212.CreateEvaluation

CreateEvaluation

POST/#X-Amz-Target=AmazonML_20141212.CreateMLModel

CreateMLModel

POST/#X-Amz-Target=AmazonML_20141212.CreateRealtimeEndpoint

CreateRealtimeEndpoint

POST/#X-Amz-Target=AmazonML_20141212.DeleteBatchPrediction

DeleteBatchPrediction

POST/#X-Amz-Target=AmazonML_20141212.DeleteDataSource

DeleteDataSource

Amazon Machine LearningMCP Server Details →API Documentation →