Veeam integrates support for Anthropic’s Model Context Protocol (MCP), enabling AI systems to access and use stored repositories.
At its annual VeeamON conference, Veeam® Software announced an advancement in enterprise data protection, introducing new capabilities that unlock the value of backup data for artificial intelligence (AI) applications. By integrating support for the Model Context Protocol (MCP), an open standard developed by Anthropic, Veeam enables AI systems to access and utilize data stored in its repositories securely. This innovation transforms backup data from a static resource into a dynamic foundation for smarter decision-making, actionable insights, and responsible AI innovation.
Niraj Tolia, CTO at Veeam, emphasized the transformative nature of this development, saying, “We’re not just backing up data anymore — we’re opening it up for intelligence.” He explained that MCP integration allows customers to safely connect Veeam-protected data to a wide range of AI tools, including internal copilots, vector databases, and large language models (LLMs). This ensures that data is not only secure and portable but also AI-ready, enabling organizations to derive real-time value from their stored information.
Unlocking AI Insights from Protected Data
With MCP integration, Veeam customers can now leverage their backup data for various AI-powered use cases, including:
- Natural Language Document Retrieval: Organizations can use natural language queries to find and retrieve relevant documents from their backup repositories, streamlining workflows and enhancing efficiency.
- Summarizing Archived Communications: AI systems can summarize conversations from archived emails, tickets, or other communication logs, enabling faster insights and decision-making.
- Automating Compliance and E-Discovery: By integrating AI with Veeam-protected data, businesses can automate compliance checks and e-discovery processes, reducing manual effort and ensuring regulatory adherence.
- Enriching AI Agents with Enterprise Context: AI agents and copilots can be enhanced with enterprise-specific context, allowing them to produce more accurate and relevant outputs tailored to an organization’s needs.
These capabilities represent a paradigm shift in how organizations view their backup data, transforming it from a passive asset into a strategic resource that drives innovation and operational excellence.
A Secure and Intelligent AI Vision
Veeam’s AI roadmap is built on five core pillars, each designed to ensure that customers can securely and effectively leverage their data for AI applications:
- AI Infrastructure Resilience: Veeam safeguards customers’ investments in AI infrastructure by ensuring that applications, data, vector databases, and even AI models are as secure and resilient as other business-critical data.
- Data Intelligence: By enabling AI applications to leverage Veeam-protected data, organizations can unlock significant additional value. This data can be provided by Veeam, delivered through partners, or created by customers.
- Data Security: Veeam enhances its market-leading malware, ransomware, and threat detection features with state-of-the-art AI and machine learning techniques, ensuring that data remains secure against evolving cyberthreats.
- Admin Assist: Backup administrators benefit from AI-driven support, guidance, and recommendations through an AI assistant, which simplifies complex tasks and improves operational efficiency.
- Data Resilience Operations: Veeam introduces intelligent backups, restores, policy creation, and sensitive data analysis based on risk indicators and desired outcomes, ensuring that data resilience operations are both proactive and effective.
Bridging the Gap Between AI and Backup Data
The Model Context Protocol (MCP) serves as a universal bridge, connecting AI agents to organizational systems and data repositories. By supporting MCP, Veeam positions itself as a critical enabler of enterprise AI, seamlessly integrating mission-critical protected data with a growing ecosystem of AI tools, including Anthropic’s Claude and customer-built large language models (LLMs).
Key benefits of MCP-powered Veeam access include:
- Enhanced Data Accessibility: AI agents can access structured and unstructured backup data, utilizing context-aware search capabilities to improve the relevance and accuracy of results.
- Improved Decision-Making: By leveraging Veeam-protected data, AI systems can deliver faster and more accurate insights, resulting in better outcomes in real-world business processes.
- Frictionless Integration: MCP simplifies the connection between Veeam and any compliant AI platform, eliminating the need for custom development and reducing deployment time.
Looking Ahead
Support for the Model Context Protocol will be incorporated into future releases of Veeam Data Cloud.
To learn more about the Model Context Protocol, visit Anthropic.
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