"Filesystem" matching MCP servers:

A filesystem MCP server that preserves file inode and metadata when writing or editing files, operating within allowed directories.

A minimal MCP server that exposes three file operations (read_file, write_file, list_directory) within a sandboxed workspace, enabling file management via natural language.

MCP Server that enables LLMs to interact with the local filesystem.

MCP server for performing filesystem operations, enabling file management and manipulation through natural language.

Standalone TypeScript MCP server for filesystem operations with robust security, encoding support, and cross-platform path handling.

Enables reading, writing, appending, and listing files, restricted to explicitly allowed directories with safety checks against path traversal and symlink escapes.

Enables AI assistants to read, write, and manage files on the local system with security features like path restrictions and optional read-only mode.

A Model Context Protocol server that gives AI assistants secure, sandboxed filesystem access with tools for reading, writing, searching, and managing files and directories.

Provides advanced filesystem operations for AI-assisted development, including batch file reading, renaming, moving, project structure display, and command execution with Python virtual environment auto-activation.

A token-optimized filesystem MCP server that groups 14 tools into 6 semantic operations, enabling file creation, deletion, reading, moving, querying, and more with reduced context token consumption.

A professional MCP server that provides filesystem operations while automatically respecting .gitignore patterns, enabling efficient and token-friendly file access for Claude.

Enables reading, creating, and editing files on the local filesystem through operations like view, create, string replacement, and line insertion.

Enables natural language filesystem operations (create, list, delete directories/files) via Ollama local LLM and MCP protocol within allowed directories.

Provides basic filesystem operations such as listing directories, reading/writing files, retrieving file info, and searching for files, enabling natural language file management.

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.

Provides intelligent file system operations with advanced features including code analysis and modification across multiple languages, version control (Git/GitHub), file compression, encryption, semantic search, batch operations, and secure shell command execution.

Enables AI coding agents to watch directories for live filesystem changes (create, modify, delete, move) via the Model Context Protocol, providing event-driven access without busy-polling.

A Model Context Protocol server that provides secure and intelligent interaction with files and filesystems, offering smart context management and token-efficient operations for working with large files and complex directory structures.

Node.js server implementing Model Context Protocol (MCP) for filesystem operations.

Exposes Linux filesystem operations as tools for LLM agents, with configurable root directory and read-only mode, built with FastMCP.