MCP server that lets AI assistants securely operate on local workspaces, including guarded binary and image artifact downloads/uploads on Windows and Linux.
A local-first MCP server providing guarded access to a workspace with file operations, search, commands, tests, Git helpers, checkpoints, and structured tool results. It supports multiple tool modes and emphasizes security with workspace restrictions and secret blocking.
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.
A secure MCP server that wraps the Google Gemini CLI, allowing clients to query Gemini models using local OAuth sessions without requiring an API key. It provides tools for model interaction and diagnostics with built-in protection against command injection.
An MCP server that enables LLMs to search, fetch, and act on Google Workspace (Drive, Gmail, Docs, Sheets, etc.) with rich, one-call results and file deposits to disk, reducing context usage.