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AI & MLAuto-generatedScore: 46

Amazon EMR MCP Server

Amazon EMR is a web service that makes it easier to process large amounts of data efficiently. Amazon EMR uses Hadoop processing combined with several Amazon Web Services services to do tasks such as web indexing, data mining, log file analysis, machine learning, scientific simulation, and data ware

Quick Answer

  1. 1. The Amazon EMR MCP server lets Claude, Cursor, and VS Code interact with the Amazon EMR 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 AddInstanceFleet, AddInstanceGroups, AddJobFlowSteps, 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-elasticmapreduce

Spec: v2009-03-31

Setup time: ~30 sec (no auth)

Environment Variables

AMAZON_EMR_API_KEY

Example: your_amazon_emr_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-elasticmapreduce": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-elasticmapreduce"
      ],
      "env": {
        "AMAZON_EMR_API_KEY": "your_amazon_emr_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

MCP Server Configuration

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

{
  "mcpServers": {
    "amazonaws-com-elasticmapreduce": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-elasticmapreduce"],
      "env": {
      "AMAZON_EMR_API_KEY": "your_amazon_emr_api_key"
}
    }
  }
}

What You Can Build

With the Amazon EMR 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=ElasticMapReduce.AddInstanceFleet

AddInstanceFleet

POST/#X-Amz-Target=ElasticMapReduce.AddInstanceGroups

AddInstanceGroups

POST/#X-Amz-Target=ElasticMapReduce.AddJobFlowSteps

AddJobFlowSteps

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

AddTags

POST/#X-Amz-Target=ElasticMapReduce.CancelSteps

CancelSteps

POST/#X-Amz-Target=ElasticMapReduce.CreateSecurityConfiguration

CreateSecurityConfiguration

POST/#X-Amz-Target=ElasticMapReduce.CreateStudio

CreateStudio

POST/#X-Amz-Target=ElasticMapReduce.CreateStudioSessionMapping

CreateStudioSessionMapping

POST/#X-Amz-Target=ElasticMapReduce.DeleteSecurityConfiguration

DeleteSecurityConfiguration

POST/#X-Amz-Target=ElasticMapReduce.DeleteStudio

DeleteStudio

Documentation →

Authentication

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

Spec Version

Version: 2009-03-31

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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