Ask, Don't Navigate
Get protection status, backup health, and recovery readiness by asking your AI assistant, with no console switching to hunt down answers.
Accelerate Investigations
Ask a question in plain language and get an answer in seconds, instead of piecing together what happened across separate dashboards.
Surface Risk Faster
Spot protection gaps, unusual admin activity, and elevated-risk workloads before they turn into recovery problems.
Ground Decisions in Trusted Data
Give AI the verified Druva backup and recovery context it needs, so recommendations and reports rest on real posture, not guesses.
Governance Comes Built In
Every AI interaction inherits your existing authentication and role-based access, and destructive delete operations stay blocked.
Report in Plain Language
Generate operational and compliance reports by describing what you need, no query building or console work.
AI Agents Need Trusted Context
AI systems are only as useful as the context they reach. Without backup intelligence, they can't tell you whether workloads are protected, where gaps create risk, or which recovery points are safe. Druva MCP gives AI assistants trusted Druva backup context inside the tools teams already use.
Druva MCP FAQ
MCP helps make Druva’s resilience intelligence available inside the AI workflows teams already use. Instead of switching between dashboards, operators can ask questions, investigate issues, and retrieve trusted guidance through supported AI clients.
Druva MCP is designed around a Code Mode (Programmatic Tool Calling) approach that compresses the interface into five lean, multi-purpose programmatic primitives instead of hundreds of individual tool schemas. This reduces context bloat, lowers token consumption, simplifies maintenance, and guides agents toward the right workflow.
Druva MCP can support skills for user entitlements, admin and role management, endpoints, SaaS apps, enterprise workloads, cyber resilience, data governance, events, and unified reports.
Druva MCP uses a 3-legged OAuth 2.1 flow with role-based permissions, so agents act strictly on behalf of the authenticated user. If a user lacks access to a workload or action in Druva, the same access boundary natively applies through the MCP workflow.
Druva MCP runs any code or scripts in a highly restricted, ephemeral sandbox with strictly controlled outbound egress. This sandbox is completely disconnected from the Druva VPC, so AI-assisted workflows are supported without exposing broader enterprise systems or your actual backup data.
Related Resources
Datasheet
See how Druva MCP connects AI agents to govern data resilience intelligence across backup, recovery, security, governance, and reporting.
White paper
Recover, govern, defend, and accelerate enterprise AI with trusted data, operational context, and cloud-native recovery intelligence.
Solution brief
Read through example prompts and see what you and the power of agentic AI can accomplish together.