Enables ChatGPT and MCP clients to safely inspect and operate a Linux host through OAuth-protected, workspace-bounded file, Git, process, systemd, and Docker diagnostics, plus human-approved edits and operations.
Turns any Linux server into an AI-agent-accessible machine over HTTPS, allowing MCP clients like ChatGPT, Claude, and Grok to securely control files, run shell commands, inspect system state, query SQLite, and work with git behind a bearer token.
Exposes a governed suite of 38 tools over one OAuth-gated MCP endpoint so web AI chat clients can read and edit files, run whitelisted shell commands, search, query Git/SQLite, drive browsers via DevTools, and manage background jobs on the local machine. Remote access runs through Tailscale Funnel while local tools connect straight to 127.0.0.1, keeping operations permission-scoped rather than granting unrestricted shell access.
Enables cloud AI agents to safely work on a Mac through MCP-style JSON-RPC by providing approval-gated command execution, jailed file access, signed requests, and a tamper-evident audit log. Risky actions require on-device approval, while files remain confined to a chosen folder with recoverable writes and deletions.
Enables web-based AI clients like Claude, ChatGPT, and Grok to securely operate a local machine through an OAuth-gated MCP endpoint, covering files, shell commands, search, Git, SQLite, browser automation, DevTools, background tasks, ports, clipboard, notifications, and Postman. Exposes 38 governed tools with a strict command whitelist, folder allowlisting, and rate limiting so browser chats can build projects, inspect databases and local APIs, and manage long-running jobs without granting unrestricted shell access.
Remote execution layer for agentic systems exposing 64 production tools via MCP for file, network, system, text, git, crypto, and monitoring operations.
