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Veeam Intelligence MCP Server

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by veeam-ai
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Python
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Veeam MCP Servers

This repository hosts Model Context Protocol (MCP) servers for Veeam products. Each server is an independent project with its own toolchain, dependencies, and documentation, and integrates with any MCP-compatible client, such as Claude Desktop, Visual Studio Code, and others.

Servers

Server

Directory

Stack

Description

Veeam Intelligence MCP Server

servers/vi-mcp

TypeScript, Node.js 24

Brings Veeam Intelligence to MCP clients for monitoring and management of Veeam Backup & Replication, Veeam ONE, and Veeam Service Provider Console (VSPC).

Veeam Backup & Replication MCP Server

servers/vbr-mcp

Python 3.13, uv

Exposes the Veeam Backup & Replication REST API as MCP tools grouped by resource: jobs, sessions, backups, restore, backup infrastructure, licensing, and more. Some tools change state or can overwrite data, so read its safety section first.

See the README of each server for prerequisites, setup, and client configuration.

Related MCP server: Veeam Backup & Replication MCP Server

Repository layout

servers/
├── vi-mcp/        # Veeam Intelligence MCP Server
└── vbr-mcp/       # Veeam Backup & Replication MCP Server
.github/           # CI workflows
LICENSE

Upgrading from the previous layout

The Veeam Intelligence MCP Server moved from the repository root to servers/vi-mcp. If you set it up before this change:

  • npm: point --prefix in your MCP client configuration to <repository>/servers/vi-mcp instead of the repository root.

  • .env file: move it from the repository root to servers/vi-mcp/.env. The old location is silently ignored.

  • Docker: rebuild the image from servers/vi-mcp (make build or docker build -t veeam-intelligence-mcp-server . in that directory). The image name is unchanged, so existing MCP client configurations keep working.

  • Remove the leftover node_modules/ and build/ directories from the repository root.

License

This project is licensed under the MIT License. See LICENSE.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessUnresponsive

Resources

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