"File reading, writing, searching, analysis and interpretation" matching MCP servers:

Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.

A Skill for your agenic AIs Like Claude Code, Codex or Antigravitty that lets you organise your messy files!

Enables Claude AI to open files and directories with system default applications or specified apps, and reveal items in macOS Finder.

Enables file management operations on the desktop including creating, reading, editing, moving, renaming, deleting, and listing files through the Model Context Protocol.

Enables LLMs to organize and manage Windows file systems with intelligent file analysis, automated grouping, renaming with date prefixes, and safe operations through dry-run mode and sandbox restrictions.

Enables interaction with the local file system and retrieval of system information. Provides tools for listing directories, reading files, getting current time, and basic greeting functionality.

Enables secure filesystem operations with directory sandboxing and optional read-only mode. Supports file reading/writing, directory management, file searching, and text operations while restricting access to specified directories.

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

Enables local computer diagnostics by sampling CPU, memory, disk, and network activity and displaying the busiest processes in an interactive dashboard. It also supports human-confirmed process-stop proposals while keeping diagnostics local and bounded.

Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.

Enables reading, writing, and manipulation of Bike outlines on macOS through natural language, using AppleScript for local document management.

Provides comprehensive PC control capabilities including file operations (read, write, edit, delete), directory management, file search, and shell command execution through the Model Context Protocol.

Provides tools for reading and writing system clipboard data across Linux, macOS, Windows, and WSL platforms.

Enables LLMs to communicate with hardware devices via serial ports. Provides tools for listing ports, opening/closing connections, reading/writing data, and controlling serial signals.

A TypeScript-based bridge between AI models and Android device functionality, enabling interaction with Android devices through ADB commands for tasks like app installation, file transfer, UI analysis, and shell command execution.

Enables searching Mercadona Online products and reading or carefully updating a user's cart via the Model Context Protocol from the command line or ChatGPT Web.

A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.

Enables reading, searching, and sending iMessages on macOS by accessing the local messages database and utilizing AppleScript. Users can list conversations, search message history, and send messages to individuals or group chats directly through the Model Context Protocol.

This server enables AI agents to execute terminal commands, manage running processes, and interact with the host's filesystem and system configuration. It supports complex operations such as code execution, file searching, and surgical data editing.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables users to work on a SLURM HPC cluster over SSH through plain-language requests, covering file browsing and editing, batch job generation and submission, queue monitoring, and log reading to debug failed jobs. It runs with built-in safety guardrails such as fixed commands and configurable path policies for reads and writes.

MCP server for reading and responding to local macOS Messages from clients like Claude Desktop and Codex.

A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.

Provides advanced system monitoring and file search capabilities for macOS, allowing users to track performance metrics and perform enhanced file searches with content analysis and tagging features.

MCP server that enables reading and writing macOS system preferences and application settings through the defaults system.

Enables AI agents to use Mint as a safety layer for file operations on macOS, providing storage growth analysis, cleanup suggestions, and journaled, reversible deletions via MCP tools.

Captures full-monitor screenshots and returns them as base64 inline or saved file. Supports macOS, Linux, Windows, and WSL2.

Enables local project file access, editing, command execution, recoverable long-running jobs, Apple MPS checks, and macOS UI automation through MCP.

Provides an experimental semantic interface for discovering and reading mock systemd unit resources for service and timer units, with tools for listing supported unit types and units.

A Windows-only MCP server that gives AI models eyes and hands on a Windows machine, enabling file reading, screenshots, mouse/keyboard injection, and an auto-debug loop with a safety-focused watchdog for protected abort regions.