"Methods to Extract Data from Files" matching MCP servers:

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.

An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.

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.

Enforces mandatory human approval before LLM agents can edit files, create files, or execute shell commands, using session tokens and audit logging.

An MCP server that lets AI assistants manage an OpenMediaVault NAS over SSH using OMV's own RPC interface, covering disks, filesystems, shares, users, S.M.A.R.T. health, services, and configuration changes. It exposes a small set of generic tools to discover and call RPC methods, plus optional shell access.

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

Enables forensic investigators to acquire data from Android devices via ADB, including device backup, artifact collection, and secure command execution.

An MCP server that enables large language models to connect to remote servers via SSH, execute commands, and transfer files securely.

Enables Claude to connect to servers via SSH, execute commands, transfer files, and manage connections through natural language.

Enables executing commands and transferring files over SSH on multiple hosts concurrently, with auto-discovery from SSH config and support for various authentication methods.

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

Enables AI tools to manage SSH connections, execute commands, transfer files, and perform remote server diagnostics via MCP protocol.

Enables AI assistants to manage SSH connections, execute commands, and transfer files via SFTP over the Model Context Protocol.

Enables SSH operations including connecting to remote servers, executing commands, and transferring files between local and remote systems. Supports multiple SSH connections with both password and private key authentication methods.

Enables AI clients to execute Windows commands, manage files, query system information, and perform code checks via MCP protocol.

MCP bridge for Nemeton — control native macOS virtual machines (Apple Virtualization.framework) from Claude Desktop, Claude Code, or any MCP client. 50+ tools across VM lifecycle, snapshots, console, files, networking, and host metrics. Bridge open-source (MIT), Nemeton app is commercial.

Enables AI models to access and manage SSH connections through a standardized interface, allowing AI assistants to perform SSH operations like connecting to servers, executing commands, and managing files.