Enables AI assistants to safely interact with the file system through a set of tools for reading, writing, deleting, copying, moving files, and managing directories.
Enables AI models to securely read, write, and query metadata of local files through a controlled file system interface, with support for local and Azure deployment.
Provides secure filesystem access for AI assistants with optimizations like file reading limits and depth-limited traversal to improve token efficiency. It enables AI models to read, write, and search files within explicitly allowed directories while automatically skipping large system folders.
Enables AI assistants to read, search, and analyze local file systems with tools for reading file contents, listing directories, searching by patterns, and analyzing folder structures for context-aware queries.
Provides file system access and operations, enabling AI assistants to read, write, list, search, and manage files and directories through a standardized interface.
Enables AI assistants to perform file system operations within a specified project directory, including reading, writing, editing, and managing files, with optional read-only access to reference projects.