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AI & MLAuto-generatedScore: 46

Amazon Machine Learning MCP Server

Definition of the public APIs exposed by Amazon Machine Learning

Quick Answer

  1. 1. The Amazon Machine Learning MCP server lets Claude, Cursor, and VS Code interact with the Amazon Machine Learning API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 10 operations available including AddTags, CreateBatchPrediction, CreateDataSourceFromRDS, and more.
  4. 4. Quality score: 46/99 — fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 10

Transport: STDIO

Command: npx -y @mcp/amazonaws-com-machinelearning

Spec: v2014-12-12

Setup time: ~30 sec (no auth)

Environment Variables

AMAZON_MACHINE_LEARNING_API_KEY

Example: your_amazon_machine_learning_api_key

One-Click Install

Copy the snippet for your MCP client and paste it in — zero editing required.

Claude Desktop

Add to claude_desktop_config.json

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

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "amazonaws-com-machinelearning": {
      "url": "https://mcpbridge.org/config/amazonaws-com-machinelearning.json"
    }
  }
}

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

{
  "mcpServers": {
    "amazonaws-com-machinelearning": {
      "url": "https://mcpbridge.org/config/amazonaws-com-machinelearning.json"
    }
  }
}

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"
}
    }
  }
}

What You Can Build

With the Amazon Machine Learning MCP server, your AI assistant can:

  • Access 10 API operations through natural language
  • Read, create, and modify ai & ml resources without writing HTTP requests
  • Chain multiple operations in a single conversation for complex workflows
  • Combine with other MCP servers for cross-tool automation

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

Documentation →

Authentication

No authentication required. This MCP server can be used without API keys.

Spec Version

Version: 2014-12-12

Spec version published with the OpenAPI document. Config auto-updates when the spec changes.

Page last updated: June 13, 2026

Quality Score

46/99Fair
  • +Auto-generated (+12)
  • +Has documentation (+12)
  • +OpenAPI spec available (+8)
  • +10 endpoints (+14)

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