Enables AI agents to securely access local development capabilities such as files, Git, processes, browser control, Windows automation, WSL, and observability through MCP on Windows and macOS.
Enables cloud AI agents to securely connect to a local Windows machine and execute tools such as system info, file operations, browser automation, and coding tasks through the Model Context Protocol.
A local MCP server that gives a cloud AI agent hands on a real machine, enabling file operations, command execution, and screen capture via a secure tunnel with path whitelisting, command guards, and audit logging.
Enables MCP clients to safely access user-local filesystems, apply validated patches, inspect git state, and run persistent jobs on outbound-connected local runners through a stateless Cloudflare control plane.
Enables full local computer control from MCP clients, including terminal commands, file system operations, application management, screen capture, and input device automation across Windows, macOS, and Linux.