Fast Filesystem
Provides a high-performance Model Context Protocol (MCP) server for secure, advanced filesystem access tailored for AI assistants like Claude.
About
Fast Filesystem is an advanced Model Context Protocol (MCP) server specifically designed to empower AI assistants, such as Claude Desktop, with robust and secure filesystem interaction capabilities. It offers a comprehensive suite of tools for high-performance file reading and writing, including support for large files via streaming and chunking. Beyond basic operations, it provides precise line and block-based editing, advanced search functionalities, and comprehensive directory management. With built-in features like automatic backups, error recovery, and performance optimizations tailored for AI, Fast Filesystem ensures reliable and efficient interaction with local storage, enabling AI agents to manage files, modify code, and automate complex workflows with confidence.
Key Features
- High-performance file I/O with streaming, chunking, and sequential reading for large files.
- Comprehensive file and directory management, including copy, move, delete, create, and synchronization.
- Advanced, precise file editing tools with line-based, block-based, and batch editing, plus regex search and replace.
- Automatic backup creation and error recovery mechanisms to prevent data loss during operations.
- Optimized for AI assistants like Claude, ensuring memory efficiency, smart exclusions, and progress tracking.
- 4 GitHub stars
Use Cases
- Empowering AI assistants to securely access and manipulate local files and directories, including large codebases.
- Automating complex file management workflows, such as directory synchronization or batch file operations, via AI commands.
- Facilitating AI-driven code refactoring, content extraction, and precise text editing on the local filesystem.
