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AIAppsSecurityTech

ExpressVPN is the first to plug VPN infrastructure into Anthropic’s MCP ecosystem

ExpressVPN’s MCP beta is available to subscribers on Basic, Advanced, Pro, and Teams plans via the desktop app settings.

By
Shubham Sawarkar
Shubham Sawarkar's avatar
ByShubham Sawarkar
Editor-in-Chief
I’m a tech enthusiast who loves exploring gadgets, trends, and innovations. With certifications in CISCO Routing & Switching and Windows Server Administration, I bring a sharp...
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Mar 10, 2026, 6:07 AM EDT
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Person typing on a MacBook at a wooden desk with the ExpressVPN app open on screen beside a dark code editor window, illustrating AI-assisted VPN control in a real-world workspace.
Image: ExpressVPN
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ExpressVPN just quietly did something pretty big for the VPN world: it’s become the first VPN provider to plug directly into the Model Context Protocol (MCP), meaning your AI coding assistant can now talk to your VPN like it’s just another tool in the stack—without that traffic ever leaving your machine.

Related /

  • What is the ExpressVPN MCP server
  • How to enable the ExpressVPN MCP server on your AI tools

If that sounds a bit abstract, think about your current workflow with AI tools. You might have Claude Code or another AI helper (like OpenAI’s Codex) wired into your editor, happily refactoring code, generating tests, and writing scripts—right up until you need to do something boring and “real‑world” like changing your VPN location, double‑checking that you’re actually connected, or troubleshooting a slow network. Suddenly you’re juggling windows: open the VPN app, switch region, wait for the tunnel to come up, rerun your script, hope you didn’t forget a step. It’s the kind of context switching that ruins flow, even if it only takes 30 seconds each time.

What ExpressVPN has built is essentially a local translator between AI agents and your VPN client. MCP itself is an open standard from Anthropic that defines how AI apps can talk to external tools and data sources in a consistent way—think “USB‑C for AI,” but for software integrations instead of chargers. AI apps like Claude Desktop or IDE integrations act as MCP clients, and anything exposing functionality—databases, internal APIs, or, in this case, a VPN—can show up as an MCP server with a clear set of capabilities the model is allowed to use. ExpressVPN is the first VPN vendor to sit on that MCP server side, which is why this launch matters: it drags VPNs into the same interoperability layer that’s rapidly becoming standard across AI tooling.

Crucially, ExpressVPN is doing this in a way that’s very intentionally “local‑only.” The MCP server runs inside the desktop app on your device—macOS, Windows, and Linux are supported in the beta—and it flat‑out refuses remote connections. There’s no cloud relay, no magic tunnel from Anthropic or OpenAI to your VPN account. To even turn it on, you have to be an ExpressVPN subscriber on one of the current tiers (Basic, Advanced, Pro, or a Teams account) and explicitly enable an “MCP server” toggle in the settings of the beta desktop app. From there, you wire it into your AI tools via a local URL as described in ExpressVPN’s implementation guide, and that’s the only path the AI has into your network settings.

Screenshot of the ExpressVPN desktop app showing an active VPN connection to USA–Chicago with an “MCP Server Enabled” banner, connection timer, map view, and settings panel highlighting the toggled “Enable MCP Server” option with a local URL.
Image: ExpressVPN

Because this is security software, the set of things the AI is allowed to do is tightly fenced in. ExpressVPN exposes a fixed allowlist of commands—think “get connection state,” “switch location,” “get protocol,” “run diagnostics”—and nothing outside that list is even on the table. The MCP server never sees your account credentials, doesn’t surface browsing history or destination IPs in the model context, and operates under the same no‑logs policy that ExpressVPN likes to market elsewhere: no traffic logs, no connection logs, no DNS queries stored. That design is trying to balance a very modern tension: AI agents are powerful but inherently probabilistic—great for reasoning, terrible if you let them anywhere near irrecoverable security primitives like keys or raw session data.

Once you’re comfortable with those constraints, the practical use cases start to look pretty compelling, especially if you live in terminals and IDEs. You can ask your AI assistant to make sure you’re actually protected before a script runs: it can check connection state, verify DNS, and confirm there are no leaks as part of an automated “pre‑flight” security check, then only proceed if everything passes. If you’re doing global product or API testing, the agent can cycle through multiple VPN locations, hit your endpoints from around the world, record how they behave, and drop you back to your default region when it’s done—all without you touching the VPN UI. For day‑to‑day headaches like a flaky coworking‑space network, you can offload the boring diagnostics: ask the assistant why your connection is slow, and it can experiment with protocols, server regions, and settings, then both explain what it found and apply the fix.

There’s also a travel and censorship angle here. If you land in a country with heavy network restrictions, you can imagine an agent that’s already primed with “best protocol and location combos for this region,” auto‑selecting an obfuscation‑friendly setup the moment you open your laptop. None of this is science fiction; it’s exactly the class of workflows ExpressVPN is pointing at in its own blog posts and promo material, and early coverage from outlets like TechRadar and Tom’s Guide is already framing it as “AI agents gaining power over your VPN connection” in a controlled, policy‑driven way.

The bigger story is that this is a hint of where AI‑aware infrastructure is going. MCP started as an attempt to solve a gnarly integration problem—too many models, too many bespoke tool hookups—and it’s quickly turning into a kind of lingua franca for AI‑to‑tool communication across vendors like Anthropic, OpenAI, and Microsoft. By bringing a major VPN into that ecosystem, ExpressVPN is betting that “agentic workflows” aren’t just hype slides, but the default way developers will orchestrate their environments: AI as the conductor, MCP servers as the instruments.

Of course, this is still a beta. Right now, you need a compatible desktop app, an MCP‑aware AI client like Claude Code or similar, and enough curiosity to tinker with a new integration layer that most people haven’t heard of yet. There are open questions: how many developers will actually trust agents with network control, even with local hard limits? Will other VPNs adopt MCP or push their own protocols? And how comfortable are teams letting AI sit anywhere near compliance‑sensitive network setups? Those are cultural questions as much as technical ones, and we’re early in that conversation.​

What’s clear for now is that ExpressVPN has fired the starting gun. By being first to ship an MCP server for VPN control—and insisting that it runs locally, is opt‑in, and lives behind a strict command allowlist—the company is trying to frame “AI‑integrated VPN” as a privacy‑first feature rather than a scary loss of control. If agentic AI really does become the default way we interact with our tools, this might end up looking like a foundational move, not just a neat beta toggle buried in a settings menu.


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