Versa, the global enabler in Universal Secure Access Service Edge (SASE), announced the release of its Model Context Protocol (MCP) Server – a powerful new utility designed to help customers integrate their Agentic AI tools and platforms with the VersaONE Universal SASE Platform for improved visibility, faster incident resolution, and greater operational efficiency.
The Versa MCP Server allows LLM-powered assistants like Claude, ChatGPT, Gemini, Microsoft Copilot, and internally developed copilots to securely query Versa systems by accessing Versa APIs. This makes it easier for NetOps and SecOps teams to quickly get answers to security and network issues – without having to switch between multiple tools or consoles.
“We created the Versa MCP Server to help our customers reduce alert fatigue and increase productivity by letting their AI tools and agents access Versa context directly – securely and intelligently,” said Apurva Mehta, CTO at Versa. “And since it’s open-source and available on GitHub, teams can integrate it into their own workflows today.”
The solution is already in use with customers and will be available for demonstration next week at the RSA Conference 2025 (Booth #960, South Expo Hall).
Making Network and Security Operations AI-Accessible
Network operations teams have struggled with the challenge of toggling between multiple dashboards and chatbots to monitor different aspects of their infrastructure. Each interface typically operates in isolation, requiring engineers to manually correlate information when troubleshooting network issues.
The Versa MCP Server addresses this challenge by providing a standardized API approach that allows AI platforms and LLM agents to query and aggregate data from across the Versa platform, with user-defined controls over what data is accessible. Network operations teams can now build Agentic AI-powered automation that spans their entire infrastructure. For instance, when a branch office reports connectivity issues, an engineer can use a single, personally configured interface to troubleshoot the problem, including to:
Check the affected appliance’s status and health metrics
Pull alarm status and review active alarms related to the device
Examine device, interface, and path health
Get routing summaries and verify routing instance information
Review template configurations
Assess bandwidth measurements
All this information is accessible through one unified API layer instead of requiring access to multiple separate consoles.
“Our customers have reported spending up to 70% of incident response time simply gathering information from different systems,” said Sridhar Iyer, Director of Engineering, Machine Learning/Artificial Intelligence at Versa. “With the Versa MCP Server, we’ve seen customers reduce their mean-time-to-resolution by 45% through unified visibility and contextual awareness.”
