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AI & MLAuto-generatedScore: 46

Amazon Personalize MCP Server

Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.

Quick Answer

  1. 1. The Amazon Personalize MCP server lets Claude, Cursor, and VS Code interact with the Amazon Personalize 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 CreateBatchInferenceJob, CreateBatchSegmentJob, CreateCampaign, 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-personalize

Spec: v2018-05-22

Setup time: ~30 sec (no auth)

Environment Variables

AMAZON_PERSONALIZE_API_KEY

Example: your_amazon_personalize_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-personalize": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-personalize"
      ],
      "env": {
        "AMAZON_PERSONALIZE_API_KEY": "your_amazon_personalize_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

MCP Server Configuration

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

{
  "mcpServers": {
    "amazonaws-com-personalize": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-personalize"],
      "env": {
      "AMAZON_PERSONALIZE_API_KEY": "your_amazon_personalize_api_key"
}
    }
  }
}

What You Can Build

With the Amazon Personalize 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=AmazonPersonalize.CreateBatchInferenceJob

CreateBatchInferenceJob

POST/#X-Amz-Target=AmazonPersonalize.CreateBatchSegmentJob

CreateBatchSegmentJob

POST/#X-Amz-Target=AmazonPersonalize.CreateCampaign

CreateCampaign

POST/#X-Amz-Target=AmazonPersonalize.CreateDataset

CreateDataset

POST/#X-Amz-Target=AmazonPersonalize.CreateDatasetExportJob

CreateDatasetExportJob

POST/#X-Amz-Target=AmazonPersonalize.CreateDatasetGroup

CreateDatasetGroup

POST/#X-Amz-Target=AmazonPersonalize.CreateDatasetImportJob

CreateDatasetImportJob

POST/#X-Amz-Target=AmazonPersonalize.CreateEventTracker

CreateEventTracker

POST/#X-Amz-Target=AmazonPersonalize.CreateFilter

CreateFilter

POST/#X-Amz-Target=AmazonPersonalize.CreateMetricAttribution

CreateMetricAttribution

Documentation →

Authentication

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

Spec Version

Version: 2018-05-22

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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