Vibatchium: MCP server, setup and security

What Vibatchium does

According to its repository: “Self-hosted stealth Chrome automation via Patchright: parallel persistent profiles, encrypted credential vault with 2FA, and prompt-injection scanning.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Vibatchium is listed under Browser automation, a category of 109 servers in the directory, where it ranks #96 by stars.

Topics declared by the repository: ai-agents, anti-detection, browser-automation, claude, cli, cloudflare.

Installing and connecting Vibatchium

Distribution modes declared in the official MCP registry:

• PyPI package (Python, started with uvx or pip)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python. Listed systems: Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for Vibatchium:

• System access: the Browser automation category gives the agent control over files, a terminal, code or a browser. A booby-trapped instruction in content the agent reads (prompt injection) can then turn into an action.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on May 23, 2026, the trueoriginlabs/vibatchium repository has 8 stars and 1 forks, with 0 open issues. It has more stars than 22% of the servers in the directory. It received changes this month. Version published in the registry: 0.20.0 (October 7, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.