TLDR: Keeper Security has introduced its new Model Context Protocol (MCP) AI Agent Integration for Keeper Secrets Manager. This innovation allows organizations to securely integrate third-party AI tools with their secrets management workflows, enabling automation while upholding stringent zero-trust and zero-knowledge security principles. The protocol ensures that AI agents can interact with sensitive data under controlled conditions, requiring human oversight for critical operations.
CHICAGO – July 10, 2025 – Keeper Security, a leading cybersecurity provider specializing in zero-trust and zero-knowledge Privileged Access Management (PAM) software, today announced the debut of its Model Context Protocol (MCP) AI Agent Integration for Keeper Secrets Manager. This new capability is designed to empower organizations to automate critical workflows through AI agents while rigorously enforcing security, access, and compliance controls.
The integration addresses a growing need for secure interaction between burgeoning AI assistants and sensitive digital assets. With Keeper’s MCP, customers can now securely connect and authorize their own third-party AI tools, including local or cloud-based assistants, to interact with Keeper Secrets Manager. Crucially, this interaction occurs under controlled conditions, ensuring that secrets stored in the Keeper Vault remain protected by Keeper’s foundational zero-trust and zero-knowledge architecture.
As businesses increasingly adopt AI assistants to enhance productivity, the secure integration with sensitive systems has emerged as a paramount concern. While third-party AI tools may operate outside of zero-knowledge boundaries from the customer’s perspective, Keeper maintains its zero-knowledge stance on all stored data. The MCP acts as a secure, auditable bridge facilitating this interaction.
Craig Lurey, CTO and Co-founder of Keeper Security, emphasized the importance of this development, stating, “AI agents are becoming powerful tools for operational efficiency, but their access to sensitive data must be governed by strong controls. With our Model Context Protocol integration, organizations can adopt AI responsibly while ensuring their digital assets remain protected.”
Key benefits of the Model Context Protocol integration include:
Zero-Trust Design: AI agents are granted explicit, least-privilege access only to designated folders within the Keeper Vault, aligning with robust security models.
Human-in-the-Loop Oversight: Sensitive operations necessitate real-time user confirmation, acting as a critical safeguard against unintended actions or unauthorized access.
Auditable Bridge: The protocol provides a secure and auditable pathway for AI tools to manage secrets, ensuring transparency and accountability.
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Through the Keeper Secrets Manager MCP integration, AI assistants gain the ability to perform a wide range of operations. These include listing, searching, retrieving, creating, updating, and deleting secrets. Furthermore, AI agents can manage file attachments associated with secrets (list, upload, download, delete) and utilize various utilities such as generating secure passwords and retrieving Time-based One-Time Passwords (TOTP) codes. This comprehensive functionality allows for significant automation while maintaining the highest security standards.
