Veeam Intelligence Server

Unlocking Veeam Intelligence at the Operational Edge

The Veeam Intelligence MCP Server extends the power of Veeam Intelligence beyond native Veeam consoles, enabling trusted operational signals to be securely delivered where enterprise operations happen, at the edge and in real-time workflows.

By exposing Veeam Intelligence through the Model Context Protocol (MCP), organizations can merge Veeam's protection, recovery, malware, and compliance signals with data from ITSM, storage, cloud, security, and monitoring platforms in a unified operational workflow.

This project provides a Veeam Intelligence MCP server that integrates with any MCP-compatible client, such as Claude Desktop, Visual Studio Code, and others, to enhance monitoring and management for Veeam Backup & Replication, Veeam ONE, and Veeam Service Provider Console (VSPC).

Features

Veeam Intelligence MCP Server delivers cross-product, operational intelligence with these core capabilities:

Category	Capabilities
Platform & Version Intelligence	- Retrieve Veeam ONE, Veeam Backup & Replication, and VSPC versions - Detect patch/build drift - Identify outdated components
Environment Health	- Triggered alarms with filtering and ranking - Permanent notifications and active alarms - Severity, object, and repeat analysis
Threat & Malware Visibility	- Threat Center overview and widgets - Malware event listing and severity rollups - Detection source and false positive tracking
Backup Server Governance	- Backup server inventory and versions - Configuration backup enabled and encrypted status - Best practices and security posture per server
License & Consumption Intelligence	- License status, edition, and expiration - Instance, socket, and NAS capacity consumption - Top consumers and headroom analysis
Protected Workload Coverage	- VM, agent, application, NAS, and object protection status - Last protected time and job mapping - Unprotected workload detection
Job & Policy Operations	- Job and policy status across all job types - Failure trends, durations, and data movement - Performance outliers and bottlenecks
Live Job State & Triage	- Running, waiting, and chained jobs - Bottleneck and progress analysis - Stalled job detection heuristics
Session & History Analysis	- Session timelines and outcomes - Top failure reasons and noisy jobs - Success rate and SLA validation
Restore Point & RPO Coverage	- Restore point counts per object - RPO age and drift detection - Restore capability mapping
Repository Health & Capacity	- Repository inventory and online state - Capacity, utilization, and throttling - Fast clone and vPower NFS readiness
Proxy & Data Mover Capacity	- Proxy inventory and live state - Transport mode and concurrency - Encryption and fallback risks
WAN Acceleration	- WAN accelerator inventory - Stream capacity and cache sizing - High bandwidth mode coverage
Unstructured Data Protection	- NAS and file server inventory - Processing mode and proxy usage - Cache and IO control posture
Agent & Protection Group Health	- Protection group policies and schedules - Agent, driver, and plugin coverage - Offline and stale endpoint detection
Cloud & SaaS Workloads	- Public cloud policy and workload status - Platform-specific signals and failures - VB365 protected object inventory
Service Provider Operations (VSPC)	- Companies and resellers inventory - Managed server and agent visibility - Support case tracking
Operational Readiness & Notifications	- Global email and SIEM settings - Storage and capacity thresholds - Misconfiguration detection

Why MCP for Veeam Intelligence?

• Real-time, cross-system insight for operators and AI agents.
• Single conversational interface for daily operations, planned changes, and incident response.
• Secure, governed access, with no destructive or configuration-changing actions enabled by default.
• Full customer control over deployment, data exposure, and integration with AI clients, including local and self-hosted LLMs.

Prerequisites

• Docker or Node.js 24 installed on your system
• One supported Veeam product installed with an active, non-Community license:
  • Veeam Backup & Replication (vbr)
  • Veeam ONE (vone)
  • Veeam Service Provider Console (vspc)

Setup

1. Clone the repository

git clone https://github.com/veeam-ai/veeam-mcp-server
cd veeam-mcp-server

2. Gather credentials and connection details

Collect the following credentials and connection details. These values are passed to the MCP server as environment variables.

• PRODUCT_NAME: The name of the Veeam product (vbr | vone | vspc)
• WEB_URL: The base URL of your Veeam server web UI.
  • Veeam Backup & Replication: https://vbr-srv.local/ (default port 443)
  • Veeam ONE: https://veeamone-srv.local:1239/
  • Veeam Service Provider Console: https://vspc-srv.local:1280/
• ADMIN_USERNAME: The Veeam product administrator username, for example, .\administrator
• ADMIN_PASSWORD: The administrator password
• ACCEPT_SELF_SIGNED_CERT: Set to true if the Veeam product uses a self-signed SSL certificate, for example, ACCEPT_SELF_SIGNED_CERT=true

Paste these values directly into the MCP client, such as Visual Studio Code or Claude Desktop, so they are passed to the MCP process as environment variables.

Option 1: Run using Docker

1. Build the Docker image

Before using the Veeam Intelligence MCP server, build the Docker image:

# Option 1: Using make
make build

# Option 2: Using Docker directly
docker build -t veeam-intelligence-mcp-server .

2. Set up your MCP client

Set up your MCP client to start the MCP server using stdio transport.

docker run -i --rm \
  -e PRODUCT_NAME=vone \
  -e WEB_URL=https://vone-server.local:1239/ \
  -e ADMIN_USERNAME=.\\administrator \
  -e ADMIN_PASSWORD=password \
  -e ACCEPT_SELF_SIGNED_CERT=true \
  veeam-intelligence-mcp-server

Option 2: Using npm

Set up your MCP client to start the MCP server using stdio transport.

Store secrets in a .env file

1. In the MCP repository root, copy .env.example to .env and populate the values.
2. Configure your MCP client to run the server as follows:

npm start --prefix ~/path/to/mcp/server

Alternatively, pass secrets on the command line

# On Mac/Linux
PRODUCT_NAME=vone WEB_URL=https://vone-server.local:1239/ ADMIN_USERNAME=.\\administrator ADMIN_PASSWORD=password ACCEPT_SELF_SIGNED_CERT=true npm start --silent --prefix ~/path/to/mcp/server

# On Windows
set PRODUCT_NAME=vone && set WEB_URL=https://vone-server.local:1239/ && set ADMIN_USERNAME=.\\administrator && set ADMIN_PASSWORD=password && set ACCEPT_SELF_SIGNED_CERT=true && npm start --silent --prefix c:\\path\\to\\mcp\\server

Example usage with popular MCP clients

Claude Desktop

1. Add the Veeam Intelligence MCP server to your Claude Desktop configuration. Edit claude_desktop_config.json and add the following configuration.

For help locating the Claude Desktop MCP configuration file, see the Model Context Protocol documentation.

Using Docker

{
  "mcpServers": {
    "veeam-intelligence": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e", "PRODUCT_NAME",
        "-e", "WEB_URL",
        "-e", "ADMIN_USERNAME",
        "-e", "ADMIN_PASSWORD",
        "-e", "ACCEPT_SELF_SIGNED_CERT",
        "veeam-intelligence-mcp-server"
      ],
      "env": {
        "PRODUCT_NAME": "vone",
        "WEB_URL": "https://veeamone-srv:1239/",
        "ADMIN_USERNAME": "username",
        "ADMIN_PASSWORD": "secret",
        "ACCEPT_SELF_SIGNED_CERT": "true"
      }
    }
  }
}

Using npm

{
  "mcpServers": {
    "veeam-intelligence": {
      "command": "npm",
      "args": [
        "start",
        "--silent",
        "--prefix",
        "/path/to/mcp/server"
      ],
      "env": {
        "PRODUCT_NAME": "vone",
        "WEB_URL": "https://veeamone-srv:1239/",
        "ADMIN_USERNAME": "username",
        "ADMIN_PASSWORD": "secret",
        "ACCEPT_SELF_SIGNED_CERT": "true"
      }
    }
  }
}

Replace the placeholder values inside the env block with your own secrets.

2. Restart Claude Desktop to apply the changes. If Claude Desktop shows an MCP initialization error, review the MCP logs for troubleshooting.

# Follow Veeam Intelligence MCP server logs in real time (macOS)
tail -n 20 -F ~/Library/Logs/Claude/mcp-server-veeam-intelligence.log

Visual Studio Code

Refer to the Visual Studio Code documentation for how to set up MCP servers in VS Code.

Configure Veeam Intelligence MCP server in the current workspace

To use this MCP server with GitHub Copilot in VS Code, create a .vscode/mcp.json file in your workspace.

1. Create a .vscode directory in your workspace if it does not exist:

mkdir -p .vscode

2. Create a .vscode/mcp.json file with the following configuration.

Using Docker

{
  "inputs": [
    {
      "id": "product-name",
      "type": "pickString",
      "options": [
        "vbr",
        "vone",
        "vspc"
      ],
      "description": "Select a product name to connect VI MCP to"
    },
    {
      "id": "product-web-url",
      "type": "promptString",
      "description": "Product web UI URL for selected product"
    },
    {
      "id": "admin-login",
      "type": "promptString",
      "description": "Administrator login for selected product"
    },
    {
      "id": "admin-password",
      "type": "promptString",
      "description": "Administrator password for selected product"
    },
    {
      "id": "accept-self-signed-cert",
      "type": "promptString",
      "description": "Trust self-signed certificates of Veeam Server? (true/false)"
    }
  ],
  "servers": {
    "veeam-intelligence": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e", "PRODUCT_NAME",
        "-e", "WEB_URL",
        "-e", "ADMIN_USERNAME",
        "-e", "ADMIN_PASSWORD",
        "-e", "ACCEPT_SELF_SIGNED_CERT",
        "veeam-intelligence-mcp-server"
      ],
      "env": {
        "PRODUCT_NAME": "${input:product-name}",
        "WEB_URL": "${input:product-web-url}",
        "ADMIN_USERNAME": "${input:admin-login}",
        "ADMIN_PASSWORD": "${input:admin-password}",
        "ACCEPT_SELF_SIGNED_CERT": "${input:accept-self-signed-cert}"
      }
    }
  }
}

Using npm

{
  "inputs": [
    {
      "id": "product-name",
      "type": "pickString",
      "options": [
        "vbr",
        "vone",
        "vspc"
      ],
      "description": "Select a product name to connect VI MCP to"
    },
    {
      "id": "product-web-url",
      "type": "promptString",
      "description": "Product web UI URL for selected product"
    },
    {
      "id": "admin-login",
      "type": "promptString",
      "description": "Administrator login for selected product"
    },
    {
      "id": "admin-password",
      "type": "promptString",
      "description": "Administrator password for selected product"
    },
    {
      "id": "accept-self-signed-cert",
      "type": "promptString",
      "description": "Trust self-signed certificates of Veeam Server? (true/false)"
    }
  ],
  "servers": {
    "veeam-intelligence": {
      "type": "stdio",
      "command": "npm",
      "args": [
        "start",
        "--silent",
        "--prefix",
        "~/path/to/mcp/server"
      ],
      "env": {
        "PRODUCT_NAME": "${input:product-name}",
        "WEB_URL": "${input:product-web-url}",
        "ADMIN_USERNAME": "${input:admin-login}",
        "ADMIN_PASSWORD": "${input:admin-password}",
        "ACCEPT_SELF_SIGNED_CERT": "${input:accept-self-signed-cert}"
      }
    }
  }
}

Start MCP server in VS Code

1. Open Copilot.
2. At the bottom, click the tools icon and select the veeam-intelligence tool. The first time, click Update Tools under the veeam-intelligence section.
3. Fill in the prompted variables.
4. Once the MCP server is configured and selected in Copilot, it will answer requests that involve Veeam products.

Known issues

• Running the Veeam Intelligence MCP server may fail if the connected Veeam Backup & Replication 13.0.1 instance uses multi-factor authentication (MFA). This issue will be addressed in upcoming releases.