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MCP-Bridge
AI & MLAuto-generated

Amazon Augmented AI Runtime MCP Server

<p>Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning application. When an AI application can't evaluate data with a high degree of confidence, human reviewers can take over. This human review is called a human review workflow. To create and start a human rev

Quick Setup

Transport: STDIO

Command: npx -y @mcp/amazonaws-com-sagemaker-a2i-runtime

Environment Variables

AMAZON_AUGMENTED_AI_RUNTIME_API_KEY

Example: your_amazon_augmented_ai_runtime_api_key

MCP Server Configuration

Add this to your claude_desktop_config.json or Cursor MCP settings.

{
  "mcpServers": {
    "amazonaws-com-sagemaker-a2i-runtime": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-sagemaker-a2i-runtime"],
      "env": {
      "AMAZON_AUGMENTED_AI_RUNTIME_API_KEY": "your_amazon_augmented_ai_runtime_api_key"
}
    }
  }
}

Endpoints

GET/human-loops/{HumanLoopName}

DescribeHumanLoop

DELETE/human-loops/{HumanLoopName}

DeleteHumanLoop

GET/human-loops#FlowDefinitionArn

ListHumanLoops

POST/human-loops

StartHumanLoop

POST/human-loops/stop

StopHumanLoop