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Cloud InfrastructureAuto-generatedScore: 46

Amazon Glacier MCP Server

<p> Amazon S3 Glacier (Glacier) is a storage solution for "cold data."</p> <p>Glacier is an extremely low-cost storage service that provides secure, durable, and easy-to-use storage for data backup and archival. With Glacier, customers can store their data cost effectively for months, years, or deca

Quick Answer

  1. 1. The Amazon Glacier MCP server lets Claude, Cursor, and VS Code interact with the Amazon Glacier 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 ListParts, CompleteMultipartUpload, UploadMultipartPart, and more.
  4. 4. Quality score: 46/99 — fair source quality and documentation coverage.

Overview

Category: Cloud Infrastructure

Auth: None

Endpoints: 10

Transport: STDIO

Command: npx -y @mcp/amazonaws-com-glacier

Spec: v2012-06-01

Setup time: ~30 sec (no auth)

Environment Variables

AMAZON_GLACIER_API_KEY

Example: your_amazon_glacier_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-glacier": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/amazonaws-com-glacier"
      ],
      "env": {
        "AMAZON_GLACIER_API_KEY": "your_amazon_glacier_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

MCP Server Configuration

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

{
  "mcpServers": {
    "amazonaws-com-glacier": {
      "command": "npx",
      "args": ["-y","@mcp/amazonaws-com-glacier"],
      "env": {
      "AMAZON_GLACIER_API_KEY": "your_amazon_glacier_api_key"
}
    }
  }
}

What You Can Build

With the Amazon Glacier MCP server, your AI assistant can:

  • Access 10 API operations through natural language
  • Read, create, and modify cloud infrastructure 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

GET/{accountId}/vaults/{vaultName}/multipart-uploads/{uploadId}

ListParts

POST/{accountId}/vaults/{vaultName}/multipart-uploads/{uploadId}

CompleteMultipartUpload

PUT/{accountId}/vaults/{vaultName}/multipart-uploads/{uploadId}

UploadMultipartPart

DELETE/{accountId}/vaults/{vaultName}/multipart-uploads/{uploadId}

AbortMultipartUpload

GET/{accountId}/vaults/{vaultName}/lock-policy

GetVaultLock

POST/{accountId}/vaults/{vaultName}/lock-policy

InitiateVaultLock

DELETE/{accountId}/vaults/{vaultName}/lock-policy

AbortVaultLock

POST/{accountId}/vaults/{vaultName}/tags#operation=add

AddTagsToVault

POST/{accountId}/vaults/{vaultName}/lock-policy/{lockId}

CompleteVaultLock

GET/{accountId}/vaults/{vaultName}

DescribeVault

Documentation →

Authentication

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

Spec Version

Version: 2012-06-01

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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