"Reading and Writing Word Files" matching MCP servers:

Enables LLMs to securely SSH into remote servers, execute commands, and manage files via SFTP including listing, reading, writing, deleting, and renaming files.

This server provides an interface for performing basic file system operations such as navigation, reading, writing, and file analysis, allowing users to manage directories and files efficiently.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Enables MCP clients to run Hayabusa detection scans over Windows event log (.evtx) files for forensic analysis and threat hunting.

Provides blocking await tools to poll commands, URLs, or files until a condition is met, eliminating the need for sleep loops in agent workflows.

Lets AI assistants read, command, and debug microcontrollers over a serial connection via MCP. Provides tools for serial port discovery, reading serial output, sending commands, and decoding register values.

Enables Claude to create and interact with real, persistent Windows terminal sessions (cmd.exe or PowerShell) through ConPTY, including sending commands, reading output, and scoped Ctrl+C interrupts without affecting other processes.

A persistent, stateful MCP server that exposes a detached tmux session to clients, enabling shell command execution, terminal buffer reading, and control signal sending via JSON-RPC over stdio.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

An enhanced Model Context Protocol filesystem server that fixes common limitations and adds features like glob pattern search, head/tail reading, intelligent file editing with syntax validation, and new tools for delete and command execution.

Enables local forensic analysis of files by orchestrating system binaries (file, exiftool, strings, Volatility) via safe subprocess execution.

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.

MCP server that gives Claude Desktop and other desktop MCP clients filesystem powers—read, write, edit, and manage files like AI coding assistants.

Enables reading diagnostic data from remote servers over SSH using a whitelist of read-only commands, with secret redaction.

Token-efficient skim-then-expand I/O for agentic models, enabling lossless reading of large files via skeletons and exact expansion with anchor IDs.

Enables creating temporary Quarto projects, writing files into them, rendering documents, and inspecting project output over MCP, while managing reusable metadata defaults.

Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.

Enables coding agents to control and inspect a running Herdr terminal session, including listing workspaces, tabs, panes, and agents, reading pane output, prompting agents, sending keys and commands, waiting for output or state, and splitting or closing panes.

Connects AI tools to local dev servers, enabling them to view pages, call APIs, read/edit files, and run commands with safety guardrails.

Lets AI clients execute shell commands and transfer files on remote machines via configured aliases, while keeping credentials and audit logs local.