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Veeam Intelligence MCP Server

@veeam-ai

Repository

About Veeam Intelligence MCP Server

Model Context Protocol server for Veeam Intelligence

#veeam#mcp#server#monitoring#management

Basic information

Category

Other

License

MIT

Runtime

node

Transports

stdio

Publisher

veeam-ai

Config

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

{
  "mcpServers": {
    "veeam-mcp-server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "veeam-mcp",
        "."
      ]
    }
  }
}

Tools

No tools detected

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

Overview

What is Veeam Intelligence MCP Server?

The Veeam Intelligence MCP Server extends Veeam Intelligence into operational workflows by exposing it through the Model Context Protocol (MCP). It integrates with any MCP-compatible client (such as Claude Desktop or Visual Studio Code) to deliver trusted operational signals from Veeam Backup & Replication, Veeam ONE, and Veeam Service Provider Console (VSPC). It is designed for operators and AI agents who need real-time, cross-system insight into backup, recovery, malware, and compliance data.

How to use Veeam Intelligence MCP Server?

Clone the repository, set the required environment variables (PRODUCT_NAME, WEB_URL, ADMIN_USERNAME, ADMIN_PASSWORD, ACCEPT_SELF_SIGNED_CERT), and run the server using either Docker (docker run -i --rm ... veeam-intelligence-mcp-server) or npm (npm start --prefix /path/to/mcp/server). Configure the MCP client with stdio transport and pass the environment variables. Restart the client to apply the changes.

Key features of Veeam Intelligence MCP Server

  • Platform and version intelligence for all supported Veeam products
  • Environment health monitoring with triggered alarms and severity analysis
  • Threat and malware visibility including detection sources and false positive tracking
  • Backup server governance, license consumption, and protected workload coverage
  • Job and policy operations with failure trends and performance bottlenecks
  • Live job triage, session history analysis, and restore point RPO coverage

Use cases of Veeam Intelligence MCP Server

  • Integrate Veeam backup health into AI-powered chat assistants for daily operations
  • Monitor malware events and compliance signals alongside ITSM or security tools
  • Streamline incident response with real-time job state, bottleneck, and stalled job detection
  • Provide governed, read-only access to Veeam metrics for third-party platforms and self-hosted LLMs
  • Automate operational checks across multi-product Veeam environments from a single interface

FAQ from Vee

Comments

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