Versa Networks today released its Model Context Protocol (MCP) Server, an open‑source utility that lets large‑language‑model copilots such as Claude, ChatGPT, Gemini, Microsoft Copilot and in‑house agents retrieve real‑time data from the VersaONE Universal SASE Platform. By giving artificial‑intelligence assistants direct, authenticated access to Versa APIs, the company aims to eliminate the manual, context‑switching work that network and security teams perform when incidents arise and data is scattered across multiple dashboards.
We should mention that they are among the first networking companies to embrace MCP, an open standard introduced in late 2024 to give AI tools a single, consistent way to reach enterprise systems. Instead of writing one‑off connectors for each device or console, administrators register Versa resources with the MCP Server and assign role‑based scopes so copilots can ask targeted questions about topology, alarms, performance metrics or configuration templates. Requests and responses flow through a standardized JSON schema, making it straightforward for any MCP‑aware assistant to incorporate Versa context into its reasoning.
For operations centers the practical benefit is speed. When a branch office reports packet loss, an engineer can type a single prompt—“diagnose connectivity problems at Branch ATL”—into an internal assistant. Behind the scenes, the copilot pulls appliance health, active alarms, interface statistics and path telemetry through MCP calls, correlates the findings and responds with a concise root‑cause analysis and remediation steps. Early pilot deployments have cut incident resolution times by nearly half, thanks to the removal of repetitive data gathering.
Key capabilities of the Versa MCP Server include:
• Comprehensive API coverage spanning appliance status, hardware specs, routing summaries, alarm data, interface and path health, bandwidth measurements and configuration templates
• Real‑time monitoring streams delivered over WebSockets so assistants can surface anomalies without polling delays
• Fine‑grained security controls that let administrators limit what each copilot can see or do, down to individual endpoints and time windows
• A stand‑alone architecture that supports on‑prem, cloud or hybrid deployments and can be extended or forked under an Apache 2.0 license
Customers who have tested the utility report spending far less time toggling between consoles and far more time acting on insights. One large retailer cited a reduction in mean‑time‑to‑resolution of roughly forty‑five percent after consolidating NetOps and SecOps workflows behind a single AI front end. The MCP Server is available immediately on GitHub.
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