"Créer des systèmes de prompt pour les modèles de langage (LLM)" matching MCP servers:

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

Zero-config SSH/SFTP MCP server that lets an LLM client open temporary SSH/SFTP sessions to remote hosts, run commands, and upload/download files without holding any pre-baked credentials.

An agent-native shell as an MCP server, designed for LLM agents (like Claude Code) to execute commands with structured output, lazy detail retrieval, and effect tracking, minimizing token usage.

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

Exposes a pentest toolbox (sqlmap, nuclei, ffuf, etc.) via Docker to an LLM orchestrator for authorized security audits, with strict whitelisting and timeout controls.

Enables AI assistants to spawn and control persistent local shells, SSH sessions, REPLs, debuggers, and serial/UART devices with zero-loss output capture, timestamped history, and atomic expect matching for command execution and prompt synchronization.

A security-first MCP server that provides LLMs with structured tools for filesystem, process, search, build/test/lint, IDE integration, and more.

Enables LLM clients to execute shell commands safely through the MCP protocol, with features like session management, safe mode, and process control.

A standalone MCP gateway that lets external AIs control Happy machines via OAuth, with dual LLM review for sensitive operations. Enables secure remote control of approved machines and directories through natural language.

A modular MCP server providing file operations, web search, URL scraping, and sandboxed command execution for LLM interactions.

Enables controlling your own Linux desktop machines from any MCP-capable LLM client, with opt-in agent capabilities for shell, filesystem, processes, screenshots, system info, and input injection.

Enables a remote omp client to invoke the host omp's tools over HTTP using the MCP protocol, with no LLM API calls on the host.

A production-grade, type-safe MCP server for memory forensics via Volatility 3, enabling LLM-assisted incident response without timeouts or evidence spoliation.

Provides a restricted Docker-based sandbox for LLM agents, enabling file operations, command execution, and local Git within an isolated runtime.

This MCP server connects LLM clients to a persistent Kali Linux VM over SSH, enabling scope-gated nmap, gobuster, nuclei, and nikto scans with structured JSON output and full audit logging.

Enables AI assistants to execute AWS CLI commands and access AWS documentation, resources, and prompt templates through the Model Context Protocol with support for Unix pipes and secure Docker-based deployment.

Enables LLM agents to control Android devices securely via Shizuku and Termux:API, providing a universal shell tool for command execution and persistent sessions.

Enables MCP servers and local AI agents to safely interact with host environments by blocking indirect prompt injections, directory traversal, and malicious shell commands.

PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.

MCP server that exposes Cisco IOS-XE devices as tools for LLM clients, enabling safe configuration changes with revert timer and connectivity verification.