"Finding Accounts and Content to Retweet on Twitter" matching MCP servers:

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

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.

MCP server for running shell commands on a Linux development board via UART serial.

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.

Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.

Remote MCP / x402 / USDC / Base / Solana / OpenAPI / Google ADK / Gemini Xcatcher is an agent-first Remote MCP server (Streamable HTTP) for high-throughput crawling of fresh/latest posts across large sets of X (Twitter) usernames. It supports x402 pay-as-you-go top-ups using USDC on Base and Solana.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

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.

A local MCP server that gives Claude in the browser tools to interact with a Fedora machine, including file operations, system diagnostics, build tasks, and root actions via Polkit.

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.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

A server that enables LLMs to securely manage and execute commands on remote SSH servers.

Cross-platform MCP server for policy-controlled command execution on Linux and Windows, with no SSH dependency.

A cross-platform MCP server providing secure, user-approved privilege escalation for Cursor agents, with tools for running commands as admin on Windows and root on Linux.

An MCP server that provides full control over iTerm2 terminal sessions on macOS. It enables users to manage windows, tabs, and panes, run commands, read screen content, and interact with terminal sessions through Claude.

Enables AI agents to read tmux pane content on-demand, providing context-aware assistance during interactive terminal sessions.

A local Model Context Protocol server that allows LLMs to securely execute shell commands on remote Linux and Windows systems via SSH connections.

Enables LLM clients to execute commands and transfer files on SSH hosts via a named registry, supporting direct, ssh3 (QUIC), and WSL-proxied transports.

Enables AI assistants to run shell commands, read, write, edit, search, and stream files on remote SSH servers and Docker containers, including nested multi-layer chains, without installing any runtime on the target hosts. It auto-injects a self-contained Go helper with adaptive zstd compression for fast transfers and process control.

Enables AI assistants to perform web content discovery scans using feroxbuster on a remote system via SSH, with support for recursive scanning, filtering, and background execution.

Enables AI assistants to execute SSH commands and perform token-efficient file operations on remote servers via the Model Context Protocol.

Enables AI assistants to execute security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.

A Model Context Protocol server that lets Windows-side AI agents operate on WSL distributions like a local environment, providing file read/write/edit, command execution, process management, log streaming, and content search via UNC paths and persistent shells.

Enables Claude Desktop to interact with and view tmux session content, allowing AI assistants to read from, control, and observe terminal sessions.

A Model Context Protocol server that enables Claude Desktop to execute bash commands and scripts in WSL2 Linux distributions on Windows.

About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

Enables LLMs to execute shell commands and perform file operations on a Linux system, exposing tools like execute_command, read_file, write_file, and more.