"A powerful filesystem that works on both Windows and Mac" matching MCP servers:

Enables interaction with MongoDB databases through CRUD operations, aggregation, and schema discovery, with automatic field validation and ObjectId conversion.

Enables reading and controlling a Mac's screen over SSH through the macOS Accessibility API, without installing anything on the Mac.

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

Filesystem MCP server for AI assistants. Search, read, edit, and manage local files in directories you choose.

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

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

An MCP server designed for managing files and folders specifically on the Windows Desktop. It enables users to perform file operations like deletion while implementing security measures to prevent path traversal outside the Desktop directory.

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

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 Claude Code to diagnose Windows slowdowns from captured evidence and perform explicit, policy-checked, verified repairs such as terminating exact processes, clearing ports, or restarting Explorer, with audit logging and local-only data.

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.

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.

MCP server that captures a Windows application's pixels and bounded UI Automation tree with provider-exposed text for Codex inspection. It supports capture, listing, retrieval, and watcher control commands.

An MCP server that enables AI coding agents to capture screenshots of macOS windows and displays on demand, providing tools for window discovery and screen capture.

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

Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.

Stop Package Chaos: Unveil Your Mac’s Setup for Targeted ML Debugging

A secure, highly capable MCP server written in Rust. It exposes a comprehensive suite of filesystem operations as tools for AI agents.

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

Enables secure Windows development automation by providing MCP tools for filesystem access, project builds, restricted PowerShell commands, and approved network fetches.

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.

Provides LLM-optimized filesystem access with intelligent file pagination for large files, lightning-fast ripgrep-powered code search with regex support, and security sandboxing to safely explore and search codebases.

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.

Enables reading, writing, editing, searching, and organizing files and directories within allowed root directories, with every tool result size-capped and large text files returned in paged windows instead of all at once. Media reads are rejected above a configurable byte limit, keeping responses bounded while preserving the usual filesystem tool set.

Node.js server implementing Model Context Protocol (MCP) for filesystem operations with comprehensive permission controls, allowing secure file and directory manipulation with granular access restrictions.

A secure, read-only MCP server for browsing and searching files in a specified directory with path traversal protection and .gitignore support.