Effective cybersecurity in today’s environment demands not only speed but also sophisticated integration of security tools and processes. Overe is built with a focus on security, scalability, and deep integration. We are advancing this capability with the introduction of the Overe MCP Server, now available in beta.

This new server empowers AI-driven agents to directly participate in SaaS security workflows. It enables a new category of autonomous tools to utilize the Overe platform within intelligent, decision-making systems.

What is the Overe MCP Server?

The Overe MCP Server (Model Context Protocol) serves as a secure and structured interface connecting the Overe API with large language models (LLMs).

It allows AI agents, including those powered by models like Claude, ChatGPT, or open-source alternatives, to:

• Understand the capabilities of the Overe platform
• Reason about necessary actions
• Interact with Overe autonomously

Enabling Agentic Behavior

Fundamentally, the MCP Server facilitates agentic behavior by enabling an AI model to plan, select appropriate tools from the Overe API, and execute secure, sequenced actions to achieve defined security objectives.

Whether the task involves summarizing security risks, triaging alerts, or triggering policy adjustments, agents can now interact with Overe as part of automated security operations, reducing or eliminating the need for manual intervention in routine tasks.

The Growing Relevance of Agentic Workflows

Agentic AI is a rapidly evolving space, gaining traction across industries. From DevOps and marketing to customer service, autonomous agents are already transforming how teams work.

With the Overe MCP Server, we are extending that innovation into the cybersecurity domain, including use cases for Managed Security Service Providers (MSPs).

At Overe, we have already adopted agentic workflows internally, from development pipelines to marketing automation. This has demonstrated the efficiency, structure, and security such workflows can bring.

This is just the beginning of applying this paradigm to security.

Powered by the Overe API

The MCP Server is built on top of the Overe API, which provides programmatic access to:

• User and organization provisioning
• Policy enforcement and SaaS posture
• Real-time alerting and response
• Multi-tenant and multi-region controls

Essentially, everything available in the Overe UI is accessible via the API and thus, AI agents.

With the introduction of the MCP Server, these tools are now exposed to AI agents in a schema-driven, discoverable format. This allows LLMs to:

• Accurately understand available functions
• Select the appropriate tools
• Interact with the API securely and appropriately

How It Works

Based on Anthropic’s MCP, standard, Overe’s implementation includes several key architectural features:

Schema-Based Tool Exposure

Presents API capabilities to LLMs using structured, machine-readable schemas.

Agent-Controlled Action Sequencing

Allows AI models to determine the logical sequence of operations based on reasoning and context.

Secure Abstraction Layer

Creates a buffer between the agent and the core Overe API, maintaining strong security boundaries.

“Schema is often more important than sample responses. MCP relies on schemas and short descriptions to help models act safely. Overe implemented robust and secure schemas from day one.”
— Roman Kalyakin, Principal Engineer, Overe

Join Us in Shaping the Future

If you are an MSP, technology vendor, or security innovator exploring the potential of agentic workflows, we invite you to connect with us.

The Overe MCP Server is now available in early access, and we are eager to partner with forward-thinking teams who want to shape the next generation of AI-enabled SaaS security.

Overe was designed for integration, adaptability, and scale.
By incorporating AI agents into the security workflow, we are significantly expanding the possibilities for automated and intelligent SaaS security management.