Rubrik MCP Server

The Rubrik MCP Server exposes Rubrik Security Cloud (RSC) to AI agents through the Model Context Protocol. It's built for Rubrik admins and automation teams writing automation against Rubrik, and runs locally (on your own workstation or on an agent's server) alongside the AI agent that connects to it.

Once connected, an agent can describe tasks in plain language and translate them into GraphQL operations against your RSC tenant: querying workloads, checking compliance, triggering backups, and more.

Schema-aware — the server exposes the full RSC GraphQL schema so agents can discover and validate operations before executing them.
Write-safe: write tools stay off until you enable them in mcp-policy.json. Raw GraphQL mutations are never executed; the agent returns a Python script for you to review and run instead.
Extensible — save multi-step workflows as named tools using rsc_save_workflow and they reload automatically on next start.
Rubrik supported. Customer support is available for help with the server and built-in tools.

Prerequisites

uv (recommended), or Python ≥ 3.10 with pip
A Rubrik Security Cloud Service Account

Quick Install via AI Agent

If your AI agent supports tool installation, paste the following prompt to have it install and configure the Rubrik MCP Server automatically:

Install the Rubrik MCP Server. 

Steps:
1. Run it with uvx rubrik-mcp (requires uv; no separate install step). If uv isn't available, install it with pip install rubrik-mcp and use the full path to the rubrik-mcp command instead.
2. Register it as an MCP server named "rubrik" using the appropriate config for this client, with RSC_SERVICE_ACCOUNT_FILE set to the path of my service account JSON file.
3. Verify the server is connected and list the available tools.

My service account JSON file is at: /path/to/service_account.json

Replace /path/to/service_account.json with the actual path before sending.

Installation

The recommended way to run the server is uvx rubrik-mcp. There is no separate install step: uvx downloads the package from PyPI into a cached, isolated environment and runs it. To pin a release, use uvx rubrik-mcp@<version>.

To install it into an environment yourself instead:

pip install rubrik-mcp
which rubrik-mcp   # use this full path as the command in your client config

The server speaks the MCP stdio transport and works with any MCP-compatible client. Register it using your client's configuration method.

Claude Code:

claude mcp add rubrik -e RSC_SERVICE_ACCOUNT_FILE=/path/to/service_account.json -- uvx rubrik-mcp

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "rubrik": {
      "command": "uvx",
      "args": ["rubrik-mcp"],
      "env": {
        "RSC_SERVICE_ACCOUNT_FILE": "/path/to/service_account.json"
      }
    }
  }
}

Desktop apps don't always inherit your shell's PATH. If Claude Desktop can't find uvx, replace "uvx" with its full path from which uvx.

Generic stdio MCP client:

{
  "command": "uvx",
  "args": ["rubrik-mcp"],
  "env": {
    "RSC_SERVICE_ACCOUNT_FILE": "/path/to/service_account.json"
  }
}

If you installed with pip, set "command" to the full path of rubrik-mcp and remove "args".

Service Account Setup

Create a service account in RSC under Apps (waffle icon) → Settings → API Access → Service Accounts. Download the JSON credentials file. The file contains your client ID, client secret, and RSC token endpoint:

{
  "client_id": "client|...",
  "client_secret": "...",
  "access_token_uri": "https://<your-domain>/api/client_token"
}

The server resolves credentials in this priority order:

Priority	Method	How to configure
1	`RSC_SERVICE_ACCOUNT_FILE` env var	Set to the full path of your service account JSON
2	Individual env vars	Set `RSC_URL`, `RSC_CLIENT_ID`, and `RSC_CLIENT_SECRET` separately
3	Config file	Place credentials in `~/.rsc/config.json`

Note

For production deployments, scope the service account to a minimum-privilege role. A read-only role covers all query and monitoring use cases. Use a DevOps role if you need to trigger backups or assign SLAs, and configure Quorum Authorization for destructive operations.

Role Recommendations

Use case	Recommended role
Monitoring and reporting	Read-only
Backup and recovery automation	DevOps
Destructive or irreversible operations	Quorum Authorization

Consider applying an IP allowlist to the service account and rotating credentials on a scheduled basis. Audit log activity is available under Reports → Audit Log in RSC.

What You Can Do

Once connected, an AI agent can answer questions and execute tasks against your live RSC tenant using natural language. The server handles schema discovery, query construction, and execution.

Examples:

"Show me all workloads that missed a backup in the last 24 hours."
"Which VMs are out of compliance with the Gold SLA?"
"Take an on-demand snapshot of my-vm-prod and wait for it to complete."
"List all clusters and their storage runway."
"Search the RSC schema for operations related to SLA assignment."

Tools Reference

The server exposes three categories of tools: schema discovery tools that work without credentials, execution tools that query your live RSC tenant, and workflow management tools for building and saving custom multi-step tools.

Schema Discovery

These tools work without RSC credentials. The AI agent uses them to explore the RSC GraphQL schema before composing queries, ensuring operations are well-formed before any API call is made.

Tool	Description
`rsc_search_schema`	Search the full RSC GraphQL schema by natural-language query. Returns ranked candidate operations across operation names, field semantics, and type vocabulary.
`rsc_describe_type`	Get fields and values for a named GraphQL type, input type, or enum.
`rsc_describe_operation_full`	Return the full argument signature for a named operation with all input and enum types expanded inline — everything needed to construct a correct query.

Execution

These tools require RSC credentials. All queries run against your live RSC tenant.

Note

The write tools below (rsc_take_on_demand_snapshot, rsc_assign_sla, and rsc_onboard_host) are disabled by default and aren't offered to the agent until you enable them. See Gating Policy.

Tool	Description
`rsc_execute_operation`	Execute any raw GraphQL query against RSC. Supports automatic pagination for connection types. Mutations return a generated Python script instead of executing.
`rsc_get_workloads`	List workloads with protection status, compliance, backup history, and usage. Filter by object type, SLA, compliance status, search term, or cluster.
`rsc_get_events`	Retrieve recent events and job activity, always scoped to a time window. Filter by status, severity, activity type, object name, workload ID, or cluster.
`rsc_get_clusters`	List CDM clusters with connection status, version, capacity, storage runway, and node count.
`rsc_get_sla_domains`	List SLA Domains with retention lock status, base schedule, archival configuration, and replication targets. Filter by name, workload type, or cluster.
`rsc_search_help`	Search Rubrik KB articles, product documentation, and known issues by keyword.
`rsc_take_on_demand_snapshot`	Trigger an on-demand backup for a workload. Returns a job ID to track with `rsc_wait_for_job`. Supports cloud-native types (AzureNativeVm, AwsNativeEc2Instance, and others) and CDM types (VmwareVirtualMachine, Mssql, OracleDatabase, and others).
`rsc_wait_for_job`	Poll a job until it reaches a terminal state and return the final status. CDM jobs require a `cluster_id`; cloud-native jobs do not.
`rsc_assign_sla`	Assign, unassign, or set do-not-protect on one or more workloads. Works across all workload types via the generic `assignSla` mutation.
`rsc_onboard_host`	Register a host with a Rubrik cluster. Supports physical hosts, async physical host registration, vSphere VMs, and Nutanix VMs.

`rsc_take_on_demand_snapshot` — supported workload types

Cloud-native: AzureNativeVm, AwsNativeEc2Instance, AwsNativeEbsVolume, AwsNativeRdsInstance, GcpNativeGCEInstance, GcpNativeDisk, AzureNativeManagedDisk, AZURE_SQL_DATABASE_DB, AZURE_SQL_MANAGED_INSTANCE_DB, AZURE_STORAGE_ACCOUNT, GCP_CLOUD_SQL_INSTANCE, AWS_NATIVE_DYNAMODB_TABLE, AWS_NATIVE_S3_BUCKET, K8S_PROTECTION_SET, KuprNamespace

CDM-managed: VmwareVirtualMachine, NutanixVirtualMachine, HypervVirtualMachine, Mssql, OracleDatabase, SapHanaDatabase, VolumeGroup, ManagedVolume, ExchangeDatabase, Db2Database

Workflow Management

Workflows are multi-step sequences saved as named MCP tools. Once saved, they load automatically on server start and appear alongside built-in tools.

Tool	Description
`rsc_save_workflow`	Save a multi-step workflow as a named tool. Workflows are written to `~/.config/rubrik-mcp/workflows/` as JSON files and are available immediately.
`rsc_list_workflows`	List all saved workflows with name, description, step count, and file path.
`rsc_delete_workflow`	Remove a saved workflow by name. The file is deleted from disk.

Advanced Usage

Gating Policy

If no policy file exists, the server creates one at ~/.config/rubrik-mcp/mcp-policy.json on first run (mode 0600). The policy controls which write tools the agent can use and which queries rsc_execute_operation will run. It works alongside your service account's RSC role: the role bounds what the account can do, and the policy bounds what the MCP server will do.

The default policy (a _comment key at the top explains each setting):

{
  "writes_enabled": false,
  "write_tools": {
    "rsc_take_on_demand_snapshot": true,
    "rsc_assign_sla": true,
    "rsc_onboard_host": true
  },
  "queries": {
    "allow_by_default": true,
    "allowed": [],
    "denied": []
  },
  "cross_mcp_egress": {
    "allowed": []
  }
}

Key	Type	Description
`writes_enabled`	boolean	Master switch for all write tools. Defaults to `false`, which means no write tools are offered to the agent. Set to `true` to enable them.
`write_tools.<name>`	boolean	Per-tool override, applied only when `writes_enabled` is `true`. Omitted tools default to enabled. Set `false` to keep a specific write tool off.
`queries.allow_by_default`	boolean	When `true`, all queries are allowed unless explicitly listed in `denied`. When `false`, only queries listed in `allowed` are permitted.
`queries.denied`	array	List of query operation names that `rsc_execute_operation` will refuse to run.
`queries.allowed`	array	When `allow_by_default` is `false`, the explicit allowlist of permitted operation names.
`cross_mcp_egress.allowed`	array	List of non-Rubrik MCP servers a workflow step may call. Empty means no cross-MCP calls are permitted.

Warning

The server fails closed: if mcp-policy.json exists but is malformed, the server refuses to start. Validate JSON syntax before saving changes. If the file is missing, the server creates a new default policy.

Raw GraphQL mutations sent through rsc_execute_operation are never executed, whatever the policy says. The agent returns a Python script for you to review and run instead.

To enable on-demand snapshots and keep the other write tools off:

{
  "writes_enabled": true,
  "write_tools": {
    "rsc_take_on_demand_snapshot": true,
    "rsc_assign_sla": false,
    "rsc_onboard_host": false
  }
}

The config directory can be relocated using the RUBRIK_MCP_CONFIG_DIR environment variable. This is the recommended approach for Docker deployments.

Custom Workflows

Workflows are JSON files that define a sequence of tool calls. Save them with rsc_save_workflow or write them directly to ~/.config/rubrik-mcp/workflows/. They load automatically at server start and appear as named tools alongside the built-ins.

Ask your AI agent to build and save a workflow during a session:

"Save a workflow that finds all out-of-compliance VMs and takes an on-demand snapshot of each one. Call it rsc_remediate_oc_vms."

The agent will call rsc_save_workflow with a JSON spec. The spec format:

{
  "schema_version": 1,
  "name": "rsc_remediate_oc_vms",
  "description": "Find out-of-compliance VMs and snapshot each one.",
  "steps": [
    {
      "id": "get_oc",
      "mcp": "rubrik",
      "tool": "rsc_get_workloads",
      "args": {
        "compliance_status": "OUT_OF_COMPLIANCE",
        "object_type": "VmwareVirtualMachine"
      }
    },
    {
      "id": "snapshot",
      "mcp": "rubrik",
      "tool": "rsc_take_on_demand_snapshot",
      "args": {
        "workload_id": "${get_oc.workloads[0].fid}",
        "object_type": "VmwareVirtualMachine"
      }
    }
  ]
}

Reference earlier step results with ${step_id.path.to.value} in args. Workflow files are plain JSON in ~/.config/rubrik-mcp/workflows/ — edit them directly and restart the server to pick up changes.

Docker Deployment

Docker is the recommended approach for hardened or shared deployments.

git clone https://github.com/rubrikinc/rubrik-mcp.git
cd rubrik-mcp
docker build -t rubrik-mcp .

For the distroless hardened variant:

docker build --target distroless -t rubrik-mcp:hardened .

Mount ~/.config/rubrik-mcp to /config to persist the policy file and any saved workflows:

docker run --rm -i \
  -e RSC_SERVICE_ACCOUNT_FILE=/config/service_account.json \
  -v ~/.config/rubrik-mcp:/config \
  rubrik-mcp

MCP client config for Docker:

{
  "mcpServers": {
    "rubrik": {
      "command": "docker",
      "args": ["run", "--rm", "-i",
               "-e", "RSC_SERVICE_ACCOUNT_FILE=/config/service_account.json",
               "-v", "/Users/you/.config/rubrik-mcp:/config",
               "rubrik-mcp"]
    }
  }
}

Note

On Linux, create ~/.config/rubrik-mcp before running. If Docker creates it, the directory will be owned by root.

mkdir -p ~/.config/rubrik-mcp

On macOS and Windows, Docker Desktop handles directory ownership automatically.

Variable	Description
`RSC_SERVICE_ACCOUNT_FILE`	Path to the service account JSON file (inside the container).
`RSC_URL`	RSC tenant URL (alternative to service account file).
`RSC_CLIENT_ID`	Service account client ID (alternative to service account file).
`RSC_CLIENT_SECRET`	Service account client secret (alternative to service account file).
`RUBRIK_MCP_CONFIG_DIR`	Override the config directory. Defaults to `~/.config/rubrik-mcp` (or `/config` in the official Docker image).

Offline Distribution

For air-gapped or restricted environments, build a self-contained tarball on a connected machine with the same operating system, CPU architecture, and Python version as the target. Each release publishes a hash-pinned requirements.txt in the repository; download the one for the version you're installing:

VERSION=0.8.20260914   # the rubrik-mcp version to install
curl -LO "https://raw.githubusercontent.com/rubrikinc/rubrik-mcp/v${VERSION}/requirements.txt"
pip download --require-hashes -r requirements.txt --dest ./dist
pip download --no-deps "rubrik-mcp==${VERSION}" --dest ./dist
tar -czf rubrik-mcp-offline.tar.gz ./dist requirements.txt

Transfer the archive to the target machine and install from the local files:

tar -xzf rubrik-mcp-offline.tar.gz
pip install --no-index --find-links ./dist --require-hashes -r requirements.txt
pip install --no-deps --no-index --find-links ./dist rubrik-mcp

Rubrik MCP Server

Prerequisites

Quick Install via AI Agent

Installation

Service Account Setup

Role Recommendations

What You Can Do

Tools Reference

Schema Discovery

Execution

rsc_take_on_demand_snapshot — supported workload types

Workflow Management

Advanced Usage

Gating Policy

Custom Workflows

Docker Deployment

Offline Distribution

`rsc_take_on_demand_snapshot` — supported workload types