A quiet but genuinely new trend is showing up in VPN apps: providers are shipping MCP servers so AI coding assistants can control your VPN connection directly, without you touching the app. PrivadoVPN became the latest to do it this month, following ExpressVPN’s move earlier in 2026, and the pattern is worth understanding even if you’ve never typed a line of code.
What actually happened
PrivadoVPN built a Model Context Protocol (MCP) server into its Windows and macOS apps, letting compatible AI tools connect to and control a user’s VPN session directly from a coding environment, according to TechRadar. An AI assistant connected through the server can start or stop the VPN, switch server locations, and check the current connection status and IP address, all through natural-language instructions rather than clicking through the app’s interface.
The feature works with MCP-compatible tools including Claude Code, Codex, Cursor, LM Studio and Visual Studio Code. Setup varies by tool: Claude Code registers PrivadoVPN’s server with a single terminal command, while Codex, Cursor, LM Studio and VS Code each need a short JSON snippet added to their MCP configuration.
PrivadoVPN wasn’t first. ExpressVPN launched its own MCP server in beta back in March 2026, billing it as an industry first for its desktop apps. PrivadoVPN’s launch this month confirms it wasn’t a one-off experiment; other providers integrating AI agent control now looks like the start of a real category rather than a single company’s gimmick.
What MCP actually is
The Model Context Protocol is an open standard Anthropic introduced in late 2024 to let AI systems connect to external tools and data sources in a consistent way, instead of every developer building a custom, one-off integration for each app. It has since been adopted well beyond Anthropic’s own products, and a VPN provider building an MCP server simply means it has exposed a set of controls, connect, disconnect, switch location, check status, that any MCP-compatible AI tool can call directly.
Why a VPN needs this at all
The honest answer is that most people don’t strictly need it yet. The practical use case so far is narrower and more technical: developers who want their coding assistant to be able to switch VPN regions mid-session, for example to test how a website or API behaves from a different country, or to route a specific task through a particular server location without alt-tabbing to a separate app.
PrivadoVPN’s implementation keeps this scoped deliberately. The server is off by default and has to be switched on by the user, it runs locally rather than sending data anywhere external, and every actual VPN action is still executed by the PrivadoVPN client itself rather than handed directly to the AI model. In practice, that means the AI assistant can request an action, but the local app remains the thing actually performing it, which limits how much trust you’re extending to any single piece of software.
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Should you turn this on?
If you don’t use an MCP-compatible AI coding tool, this feature simply doesn’t apply to you yet, and there’s no reason to seek it out. If you do work inside Claude Code, Cursor or a similar environment and find yourself frequently switching VPN servers to test region-specific behavior, it’s a genuine convenience rather than a security downgrade, provided it stays opt-in and local the way PrivadoVPN and ExpressVPN have both built it.
The bigger thing to watch is what a provider’s MCP server can do as these features mature. Connect, disconnect and check status is a narrow, low-risk set of permissions. If future versions start exposing account settings, billing, or server configuration to AI tools, that’s a meaningfully different trust decision, and worth reading the permissions carefully before enabling it.
What setup actually looks like
For Claude Code specifically, registering PrivadoVPN’s MCP server is a single terminal command that points the tool at the server PrivadoVPN’s app exposes locally. Cursor, Codex, LM Studio and VS Code each require a short JSON snippet added to that tool’s own MCP configuration file instead, pointing to the same local server. None of it requires exposing anything to the open internet; the server runs on your machine and only tools already running on that same machine can reach it. That local-only design is doing a lot of the safety work here, and it’s worth checking that any provider following this trend keeps it that way rather than routing control through a cloud service.
Will other VPN providers follow?
Given that two providers have now shipped this within a few months of each other, and MCP adoption keeps expanding well beyond Anthropic’s own products, it would be a mild surprise if NordVPN, Surfshark or Proton didn’t experiment with something similar before the end of the year. The feature itself is relatively cheap to build, since it mostly wraps functionality the app already has (connect, disconnect, switch server) behind a standard interface AI tools already know how to speak. The more interesting question isn’t whether more providers add this, it’s whether any of them expand the permission set beyond basic connection control once the category stops being novel.
Why Anthropic’s protocol specifically
MCP has become the default way AI tools connect to outside software largely because it solves a problem every developer used to solve separately: before it existed, connecting an AI assistant to a new app meant writing a custom integration from scratch, then doing it again for the next tool and the next app. MCP standardizes that handshake once, so any MCP-compatible AI tool can talk to any MCP-compatible app without bespoke code in between. That’s exactly why a VPN provider building one server can suddenly work with Claude Code, Cursor, Codex, LM Studio and VS Code simultaneously, rather than needing five separate integrations built and maintained independently.
What this means if you don’t write code
If none of this applies to your daily routine, the honest takeaway is that it doesn’t affect you yet, and switching VPN providers to chase this specific feature would be solving a problem you don’t have. Where it’s worth keeping half an eye on is the direction it points: VPN apps are starting to expose structured controls that software, not just people, can operate directly. That’s a reasonable, low-risk feature today, scoped to connect, disconnect and check status. It’s worth remembering this category is brand new, and paying attention to what gets added to that permission list next is more useful than deciding whether to enable today’s version.
The wider AI-and-VPN trend
This fits a pattern we’ve been tracking all year: VPN providers positioning themselves around AI use rather than just streaming and privacy. We cover the broader question of whether AI agents need their own VPN protection at all in our guide to the best VPN for AI agents in 2026, and the industry-wide shifts driving this kind of feature race in our mid-2026 VPN industry roundup.
PrivadoVPN's MCP server is a narrow, opt-in feature aimed squarely at developers, not a reason for most people to switch VPNs. It's worth watching as a category, though: ExpressVPN and PrivadoVPN both now let AI tools control a VPN connection directly, and where the permissions granted to those tools go next is the part actually worth paying attention to.
Keep reading: Best VPN for AI Agents in 2026 and The State of VPNs in Mid-2026.