Model Context Protocol
What is Model Context Protocol (MCP)?
Model Context Protocol is the universal connector between AI and enterprise systems. It gives AI agents and automation a single, secure way to access data, applications, and workflows—without the complexity of custom integrations.
The problem it solves
Today, connecting AI to business systems usually means building and maintaining dozens of APIs. Each one has its own security model, governance challenges, and maintenance burden. This slows down AI adoption and introduces compliance risk.
The MCP solution
MCP standardizes the connection. Think of it as the USB-C port for AI: one interface that works everywhere. Beyond connectivity, MCP embeds policy enforcement, privilege controls, and context awareness so AI can be adopted securely and at scale.
Key capabilities
- Secure access to secrets, users, roles, and groups—without custom coding
- AI-powered analytics on secret usage and access patterns
- Automated approvals and just-in-time (JIT) workflows
- Centralized governance across SaaS, IaaS, on-prem, and DevOps
- Automated monitoring and administration of Secret Server
Business benefits of MCP
- Accelerate adoption: Deploy AI faster, with no integration delays.
- Reduce risk: Policy-driven governance ensures compliance and least-privilege access.
- Increase efficiency: Automate manual IT and security tasks.
- Scale with confidence: MCP works across all environments and future-proofs AI strategy.
MCP vs APIs
- APIs connect; MCP governs and scales.
- With APIs: every system requires its own integration and manual security controls.
- With MCP: one standard interface, AI-native workflows, and governance built in.
Why it matters
MCP bridges the gap between AI innovation and enterprise trust. It lets organizations adopt AI safely, reduce risk, and unlock value at scale—making AI not just possible, but practical.