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.
Local-first MCP server and CLI wrapper for AI coding agents. SAGE routes shell commands through a tracked local runner, stores command history on the user’s machine, and returns compressed terminal output to reduce noisy context.
MCP server that provides AI access to a local terminal, enabling command execution, directory navigation, and system operations with persistent session state.
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 security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.
This MCP server enables AI agents to run a restricted set of Unix commands, manage files within a sandboxed working directory, apply patches, and fetch web content, providing controlled local automation without full shell access.
Provides 20 essential tools including HTTP requests, web search, file I/O, shell commands, and persistent memory for any MCP client, with zero configuration required.
MCP server for infrastructure discovery and remote management, enabling SSH command execution, file transfer, log tailing, and machine/service inventory with a companion web dashboard.
Enables ChatGPT web chat to access approved local files and run allowlisted commands through a secure loopback MCP bridge, with read-only enforcement and opt-in write capabilities.
Enables Claude to execute PowerShell commands and scripts in a persistent interactive terminal on Windows, with real-time output streaming to a web terminal.
Enables MCP clients such as Notion AI to execute native OpenCode file, search, shell, web-fetch, and todo tools with job management and permission approvals.
A plug-and-play MCP toolkit providing AI agents with web search (Chinese sources prioritized), file operations, and shell command execution capabilities.
An MCP server that bridges ChatGPT Web Pro to local tools, enabling file read/write, shell command execution, git operations, and search within a specified project directory.
Enables ChatGPT and Gemini on the web to read and modify local files and run PowerShell commands on a Windows PC through a locally hosted MCP bridge, with OAuth/DCR authorization and a private local dashboard.
Enables web-based AI chat clients and local IDEs to securely operate a user's own machine through one OAuth-gated MCP endpoint, exposing 38 governed tools for file read/write/edit, whitelisted shell commands, content search, Git, SQLite, browser automation, DevTools, background tasks, localhost fetching, ports, clipboard, notifications, and Postman control. Access is confined to user-approved folders and a strict command whitelist, so remote clients can build projects, inspect databases and local APIs, and drive browser workflows without unrestricted shell access.
Enables an MCP client to run commands and inspect or edit files across multiple named SSH hosts through a single local connection, keeping terminal state between calls and reading long output a page at a time. It reports honest exit statuses and handles router CLIs and pagers such as --More-- without dumping whole logs into the conversation.
Connects ChatGPT Web to a local development environment, enabling file reads and patches, shell execution, plan updates, and isolated worktree coordination through permissioned MCP tools.
Enables web-based AI clients like Claude, ChatGPT, and Grok to securely operate a local machine through OAuth-gated MCP tools covering files, shell, Git, databases, browser automation, and background tasks.
A local TypeScript MCP gateway that unifies SSH, Prometheus, and MySQL tools under a single loopback HTTP service, featuring a web console for configuration and health monitoring.
A secure, container-based implementation of the Model Context Protocol (MCP) that provides sandboxed environments for AI systems to safely execute code, run commands, access files, and perform web operations.
A batteries-included MCP server providing common coding-agent tools like web search, page fetching, file system access, shell command execution, and Git integration, built in Python with a local-first, Unix-style philosophy.
Turns web-based AIs into full-powered agents with local PC access, 33 tools across 8 categories, and parallel swarm orchestration with real-time validation.
Enables Claude to execute commands and manage directory-aware panes within tmux sessions for a shared terminal experience. It features smart output capture, interactive prompt detection, and background task management.
