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AI & MLAuto-generatedScore: 46

Amazon Elastic Inference MCP Server

<p> Elastic Inference public APIs. </p> <p> February 15, 2023: Starting April 15, 2023, AWS will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers

Quick Answer

  1. 1. The Amazon Elastic Inference MCP server lets Claude, Cursor, and VS Code interact with the Amazon Elastic Inference API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 6 operations available including DescribeAcceleratorOfferings, DescribeAcceleratorTypes, DescribeAccelerators, and more.
  4. 4. Quality score: 46/99fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 6

Transport: STDIO

Command: npx -y @mcp/amazonaws-com-elastic-inference

Spec: v2017-07-25

Setup time: ~30 sec (no auth)

Environment Variables

AMAZON_ELASTIC__INFERENCE_API_KEY

Example: your_amazon_elastic__inference_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-elastic-inference": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-elastic-inference"
      ],
      "env": {
        "AMAZON_ELASTIC__INFERENCE_API_KEY": "your_amazon_elastic__inference_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

MCP Server Configuration

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

{
  "mcpServers": {
    "amazonaws-com-elastic-inference": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-elastic-inference"],
      "env": {
      "AMAZON_ELASTIC__INFERENCE_API_KEY": "your_amazon_elastic__inference_api_key"
}
    }
  }
}

What You Can Build

With the Amazon Elastic Inference MCP server, your AI assistant can:

  • Access 6 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/describe-accelerator-offerings

DescribeAcceleratorOfferings

GET/describe-accelerator-types

DescribeAcceleratorTypes

POST/describe-accelerators

DescribeAccelerators

GET/tags/{resourceArn}

ListTagsForResource

POST/tags/{resourceArn}

TagResource

DELETE/tags/{resourceArn}#tagKeys

UntagResource

Authentication

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

Spec Version

Version: 2017-07-25

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)
  • +6 endpoints (+14)

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