Rootlenses MCP: The secure bridge between your data and AI
MCP standardizes tool integration, but doesn't natively include enterprise-level governance or centralized access control. Rootlenses MCP extends this standard with an enterprise layer that centralizes access, execution, and control within your own infrastructure.
Compatible with your technology stack
From protocol to execution layer
Model Context Protocol (MCP) is an open protocol created by Anthropic that standardizes how AI applications connect with external tools and data sources.
Implementing MCP allows for rapid tool integration, but without an additional management layer, these integrations can become difficult to manage at scale. Rootlenses MCP organizes and structures this environment so your organization can grow without losing control.
Integrated control in every interaction
Rootlenses MCP incorporates access control, tool management, and traceability directly into the runtime layer, allowing you to establish clear rules for how models use resources, query data, and perform actions within your systems.
This makes it possible to reduce risks, ensure regulatory compliance, and scale AI implementations with greater confidence, without relying on external solutions or complex integrations.
Data protected across all your AI systems
Without Rootlenses MCP
Data sent to third-party external clouds.
Manual and technical configuration per endpoint.
Reliance on rigid external developments.
High exposure to data transfer.
Weeks of configuration and integration.
With Rootlenses MCP
Data processed locally (On-Premise).
Centralized administration via Admin UI.
Modular activation of "Tools" on demand.
Risk mitigated by a local security perimeter.
Automated provisioning via Terraform.
Schedule an appointment and we'll explain how to strengthen your data security with MCP
Adopt Rootlenses MCP in 4 simple steps
Infrastructure setup
Access, credentials, and deployment environment are configured.
Server deployment
Rootlenses MCP is installed as a container within your infrastructure.
Tools and access configuration
Internal systems are integrated and usage permissions are defined.
Activation and operation
The system is activated and its usage is monitored in production.
Operate AI in your own environment, with full security and governance using Rootlenses MCP
Request a demoWe answer your most frequently asked questions about Rootlenses MCP
In this section we explain the most important aspects so that you can make the most of our tool.
Rootlenses MCP is an on-premises server that acts as an orchestration layer between advanced AI models and your private infrastructure. It implements the Model Context Protocol (MCP) standard and adds governance, permissions, and operational control, simplifying integrations and enabling you to operate AI with complete control over data and processes.