"Data science and deep learning papers" matching MCP servers:

Connects compatible AI clients to registered Windows or macOS computers, allowing users to inspect systems, work with files, run supported commands, and automate workflows through authorized remote access.

A tutorial MCP server for learning the Model Context Protocol by building file and system tools. Provides hands-on experience creating custom tools that enable AI models to interact with files and execute system commands.

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.

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.

Provides data science, plotting, statistics, system, and web tools via MCP, with interactive CLI clients for OpenAI-compatible and Anthropic providers.

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

An educational MCP server exposing shell command execution (PowerShell and sh) and a benign tool for learning about MCP tools, resources, and security risks like tool poisoning.

Enables AI clients to securely operate servers over SSH, including remote command execution and file transfer with a built-in web admin console and Windows tray app.

Enables MCP clients to run text chat, deep reasoning, vision analysis, and image generation through the xAI Grok API, alongside workspace file read/write/shell tools, web search, speech-to-text and text-to-speech, and background jobs with persistent conversation history in PostgreSQL. Supports both HTTP and stdio transports with per-tool model selection from the live xAI catalog.

Convex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed queries, ensuring data integrity. Perfect for AI automation, real-time apps, and dynamic data access.

A Zsh execution tool for Claude Code providing yield-based command execution, PTY mode for interactive programs, circuit breaker for timeout protection, and adaptive learning (A.L.A.N.) for retry detection and proactive insights.

All-in-one Arch/CachyOS deep system control MCP server. It provides pacman + AUR package intelligence, system updates, and bundles network and sysprobe tools for full machine visibility and control.

MCP server for SSH and local terminal access. Supports interactive commands, long-running processes, and TUI apps like tmux/zellij

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

Stateless command execution and process management MCP server for Claude. Enables searching file contents, executing commands with safety limits, listing processes, and terminating processes.

Interactive, streaming SSH tool for LLM agents that enables spawning long-running remote commands with live line-by-line output, signal handling, stdin input, and SFTP file transfer.

A minimal MCP server for UW Hyak (klone) that exposes tools to run shell commands and write files remotely, along with documentation resources for klone-specific utilities.

Executes privileged commands with mandatory human approval via a TUI prompt, supporting local and remote execution through sudo.

An open MCP server that gives any AI agent SSH access to remote Linux/Unix machines — shell commands, file read/write, and SFTP transfers.

Enables LLMs to interact with remote servers via SSH, supporting command execution, file upload/download, and directory listing.