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.
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基本信息
MCP server to gather AWS cost information for VBR repositores
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"vbr-mcp-server": {
"command": "uv",
"args": [
"init"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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".
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.
Debug logs are stored in a directory named "logs" created by the MCP 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.
Yes, you must export `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, and optionally `AWS_SESSION_TOKEN` before running the server.
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