"Official GitHub Website or Account" matching MCP servers:

Exposes the official lark-cli as an MCP server, enabling agents to execute arbitrary CLI commands, query API schemas, and manage authentication.

Local-first operator MCP server: recall across your own sessions, chats and files, an encrypted vault, SSH to your own hosts, and gated shell, browser and device tools. 130 tools over stdio or HTTP; everything runs on your machine — no hosted service, no account, no API key.

Enables infrastructure operations through Claude Code by exposing 195 tools across 7 providers including Coolify, VPS, Hetzner, Namecheap, Cloudflare, Supabase, and GitHub for server management, DNS, cloud resources, and more.

A Model Context Protocol (MCP) SSH client server that provides autonomous SSH operations for GitHub Copilot and VS Code. Enable natural language SSH automation without manual prompts or GUI interactions.

Enables automated VPS initialization and management through SSH connections. Supports installing common services like Node.js, Nginx, and Redis, configuring domains with SSL certificates, and setting up GitHub CI/CD pipelines with deploy keys.

Enables executing terminal commands and managing files across different contexts: local system, remote SSH servers, and GitHub repositories. Provides comprehensive file operations, directory navigation, and multi-environment command execution capabilities.

Enables server operations and AI application deployment via 16 MCP tools, including container management, disk diagnostics, and GitHub repository search with one-click deployment, through natural language.

Persistent Linux environments for AI agents, with interactive terminals, input-wait event feedback, background tasks, file transfers, and HTTPS previews. Connect through a local stdio MCP server. Requires an agend account; bring your own agent and model.

Enables AI agents to execute commands and read files or directories on pre-registered, fingerprint-verified SSH hosts by alias or IP, while keeping encrypted passwords local and inaccessible to the agent.

Enables users to save frequently used long prompts as simple shortcuts like /review or /debug. Transform 500-word prompts into 8-character commands across any MCP-compatible platform.

A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.

Give Claude direct access to your AWS account, SSH into your servers, run shell commands on your laptop, query your databases, and manage PM2 processes — all from a Claude chat. No Claude Code subscription needed. Your keys never leave your machine.

Enables AI assistants to execute shell/PowerShell commands, manage files, run git and Django operations, and control IIS or systemd services on remote Windows or Linux machines over HTTP.

Enables remote log searching, tailing, and file reading across servers via MCP tools, with pluggable execution via SSH, pyinfra, or local commands.

A toolkit for managing Claude desktop app extension configurations, enabling features like Brave search, file operations, Git/GitHub integration, shell access, web scraping, HTTP requests, AWS documentation search, and Obsidian note management.

Exposes all CLI commands as MCP tools over stdio or HTTP transport.

Enables MCP clients on Linux to drive the official Codex Computer Use and Browser Use runtime on a remote Windows PC over SSH, operating in the logged-in Windows desktop session.

Enables Windows 11 automation across file, document, network, host, development, shell, GitHub, shortcut, system, and guidance domains through ten canonical MCP tools. It also supports backward-compatible tool routing and persistent GitHub integration.

Enables ChatGPT web to read local files, search code, run shell commands, and drive a local Codex CLI via an official MCP connector, with human approval for risky commands and full audit logging.

A bridge that enables the ChatGPT web interface to use local file and shell tools through the official MCP protocol, turning the workspace into an agentic coding environment.

Enables local/remote execution infrastructure through the official Codex Runtime, providing shell, files, Git, sessions, browser, computer use, recoverable tasks, multi-host routing, dynamic MCP integration, and skill lifecycle management.

Enables AI agents to run structured preflight checks and identity-scoped Git operations, committing, pushing and opening GitHub PRs with the correct Git name, email, SSH key and signature for each repository. Persistent changes require exact proposals, human approval by default and recoverable, idempotent apply.

A simple MCP Server with shell execution capabilities that can be run locally with Ngrok tunneling or hosted in an Ubuntu 24 Docker container.

45+ first-class, OS and backend specific MCP tools that let AI coding agents create, manage, read, edit, and write files inside dev containers, keeping your machine clean and your environment reproducible and deploy-friendly. Use local Docker, GitHub Codespaces, Azure, AWS, Google Cloud or Kubernetes seamlessly!

Enables AI agents to remotely control multiple devices registered to the same account, executing system commands via the Remote Control Assistant desktop bridge.

Exposes a system terminal over Server-Sent Events so GUI MCP clients can run real shell commands on a local or remote host and get back combined stdout/stderr with exit codes.

A modular Model Control Protocol server that provides tools for GitHub repository analysis, calculations, weather, time, and command execution via HTTP or stdio.

Enables controlled Hyper-V virtual machine operations over MCP, including status queries, checkpoints, in-guest command execution, and file transfers, without requiring guest networking or WinRM.

Exposes baby-gpt's tools (shell, filesystem, search, memory, GitHub integration, etc.) to Claude Desktop or Cursor, enabling natural language interaction with these capabilities.

A lightweight Node.js MCP server with zero dependencies offering 9 built-in tools for system info, web fetching, GitHub search, file operations, shell execution, and key-value memory, enabling AI agents to perform these tasks via the Model Context Protocol.