AI & ML

Amazon SageMaker Service MCP Config

Provides APIs for creating and managing SageMaker resources. Other Resources: <ul> <li> <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html#first-time-user">SageMaker Developer Guide</a> </li> <li> <a href="https://docs.aws.amazon.com/augmented-ai/2019-11

Config URL

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

https://mcpbridge.org/config/amazonaws-com-sagemaker.json

Download JSON Claude Desktop Setup

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-sagemaker": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-sagemaker"
      ],
      "env": {
        "AMAZON_SAGEMAKER_SERVICE_API_KEY": "your_amazon_sagemaker_service_api_key"
      }
    }
  }
}

Cursor

Settings → MCP Servers → Add

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

VS Code

Use with MCP extension

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

Configuration JSON

Use curl https://mcpbridge.org/config/amazonaws-com-sagemaker.json to fetch programmatically.

{
  "mcpServers": {
    "amazonaws-com-sagemaker": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-sagemaker"],
      "env": {
      "AMAZON_SAGEMAKER_SERVICE_API_KEY": "your_amazon_sagemaker_service_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://mcpbridge.org/config/amazonaws-com-sagemaker.json

Environment Variables

AMAZON_SAGEMAKER_SERVICE_API_KEY

Replace your_amazon_sagemaker_service_api_key with your actual amazon sagemaker service api key

Endpoints

POST/#X-Amz-Target=SageMaker.AddAssociation

AddAssociation

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

AddTags

POST/#X-Amz-Target=SageMaker.AssociateTrialComponent

AssociateTrialComponent

POST/#X-Amz-Target=SageMaker.BatchDescribeModelPackage

BatchDescribeModelPackage

POST/#X-Amz-Target=SageMaker.CreateAction

CreateAction

POST/#X-Amz-Target=SageMaker.CreateAlgorithm

CreateAlgorithm

POST/#X-Amz-Target=SageMaker.CreateApp

CreateApp

POST/#X-Amz-Target=SageMaker.CreateAppImageConfig

CreateAppImageConfig

POST/#X-Amz-Target=SageMaker.CreateArtifact

CreateArtifact

POST/#X-Amz-Target=SageMaker.CreateAutoMLJob

CreateAutoMLJob

Similar APIs

Other APIs in the AI & ML category.

OpenAI API

Generate text, images, and embeddings. Integrate GPT models and DALL-E into your AI agent.

https://mcpbridge.org/config/openai.json

Anthropic API

Access Claude AI models for text generation, analysis, and code assistance through the Anthropic API.

https://mcpbridge.org/config/anthropic.json

OpenAI API

APIs for sampling from and fine-tuning language models

https://mcpbridge.org/config/openai-com.json

Amazon CodeGuru Reviewer

This section provides documentation for the Amazon CodeGuru Reviewer API operations. CodeGuru Reviewer is a service that uses program analysis and machine learning to detect potential defects that are difficult for developers to find and recommends fixes in your Java and Python code. By pr

https://mcpbridge.org/config/amazonaws-com-codeguru-reviewer.json

Amazon SageMaker ServiceMCP Server Details →API Documentation →