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Veeam Backup and Replication MCP Server for Amazon S3

@wjquigsAZ

Repository

Basic information

Category

Cloud & Infrastructure

Transports

stdio

Author

wjquigsAZ

About Veeam Backup and Replication MCP Server for Amazon S3

MCP server to gather AWS cost information for VBR repositores

Veeam Backup and Replication MCP Server for Amazon S3 config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "vbr-mcp-server": {
      "command": "uv",
      "args": [
        "init"
      ]
    }
  }
}

Veeam Backup and Replication MCP Server for Amazon S3 tools

Tool list not available yet

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Veeam Backup and Replication MCP Server for Amazon S3?

The Veeam Backup and Replication MCP Server for Amazon S3 is an MCP server that integrates with Veeam Backup and Replication (VBR) through its API. It extracts information about repositories stored in Amazon S3 and retrieves cost information for those repositories. It is designed for VBR users who manage backups in S3 and want to query repository details and costs via LLMs.

How to use Veeam Backup and Replication MCP Server for Amazon S3?

Install the prerequisite uv Python packager, configure an AWS account with Bedrock permissions, and ensure access to a VBR server with S3-based repositories. Export AWS environment variables (access key, secret key, session token), initialize uv, create a virtual environment, install dependencies, then configure the MCP server in your client (e.g., using the example mcp_settings.json for Roo). Example queries include "list all vbr repositories" and "show s3 cost for repository XXX for the month of March".

Key features of Veeam Backup and Replication MCP Server for Amazon S3

  • Interacts with VBR via its API.
  • Extracts information about S3-based repositories.
  • Retrieves per-bucket cost data using cost tags.
  • Stores debug logs in a dedicated "logs" directory.
  • Requires cost tags with key "cost:BucketName" on S3 buckets.

Use cases of Veeam Backup and Replication MCP Server for Amazon S3

  • List all VBR repositories via natural language queries.
  • Filter repositories that use S3 buckets.
  • Show monthly S3 costs for a specific repository.
  • Query cost information for Glacier-type repositories.

Frequently asked questions

1

How does the server get cost information for S3 buckets?

S3 does not report cost per bucket by default. The server assumes cost tags with the key `cost:BucketName` and the bucket name as the value are configured on each S3 bucket.

2

Where are debug logs stored?

Debug logs are stored in a directory named "logs" created by the MCP server.

3

What prerequisites are needed to deploy the server?

You need `uv` Python packager, an AWS account with permissions for Bedrock, and access to a VBR server with repositories configured to use S3 buckets.

4

Does the server require any AWS environment variables?

Yes, you must export `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, and optionally `AWS_SESSION_TOKEN` before running the server.

Comments

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