- PrivadoVPN has added a built-in MCP server to its Windows and macOS apps
- Allows MCP-compatible AI tools to manage your VPN connection
- Server is optional, runs entirely on the device and is restricted to localhost
PrivadoVPN’s latest update hands your VPN keys to its AI assistant.
The vendor has integrated a Model Context Protocol (MCP) server into its Windows and macOS applications, allowing supported AI development tools to connect and control your connection directly from your coding environment.
MCP is the open standard that Anthropic introduced in late 2024 to link AI systems with external tools and data. By adopting it, PrivadoVPN joins a growing list of providers connecting their apps to the agent era, allowing the best VPN services to work with natural language instead of menus and switches.
What PrivadoVPN’s MCP server does
PrivadoVPN’s server connects to MCP-compatible tools, including Claude Code, Codex, Cursor, LM Studio, and Visual Studio Code.
Once running, a wizard can connect or disconnect the VPN, change the server location, and check your current connection, IP address, and status. You can also list available locations, switch between WireGuard, IKEv2, and OpenVPN protocols, toggle the Kill Switch, and run basic network diagnostics.
In essence, the server is a local HTTP component built into the client. It listens on a fixed port (5801 by default) and is restricted to localhost, so it cannot be accessed remotely. Commands are executed through the official PrivadoVPN app and any changes appear instantly on the interface.
Safety is at the center of the design. The server is turned off by default and the user needs to turn it on; It never leaves the device and each action is executed by the PrivadoVPN client itself instead of handed over to the AI.
The company offers the feature to developers, QA teams, and power users who routinely test across different regions and VPN configurations.
You can see all the technical details on the PrivadoVPN support page.
How to use PrivadoVPN’s MCP server
To activate it, users must open the PrivadoVPN app, go to Settings, then Application, and activate the MCP Server option. Once saved, it runs silently in the background.
From there, you point your AI tool to the endpoint, http://127.0.0.1:5801/mcp.
In Claude Code, for example, a single terminal command logs it, while Codex, Cursor, LM Studio, and VS Code each take a short JSON fragment in their MCP configuration.
The VPN and AI agent race
PrivadoVPN is just the first in a growing, but still small, list of VPN providers joining the AI agent race.
ExpressVPN, for example, was an industry first in March when it launched an MCP server in beta for its desktop apps. Like Private, ExpressVPN’s tool is also optional, local, and covered by its strict no-logs policy.
Norton VPN went further with its “Agent VPN,” a native AI tool that enables Docker-based temporary tunnels so each agent and task has its own independent connection.
Windscribe took a different route, launching a skill that allows agents like OpenClaw to handle its command-line interface (CLI) on a dedicated machine, while PureVPN turned ChatGPT into a conversational assistant that recommends servers and connects via deep linking.
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