A Model Context Protocol server that allows LLMs to securely execute shell commands on remote Linux and Windows systems via SSH. It supports password and key-based authentication, command timeouts, and sudo elevation for administrative tasks.
Enables remote server management through SSH and SFTP, supporting command execution, file transfers, and interactive shell sessions. It allows for multiple concurrent connections using either password or SSH key authentication.
Enables AI agents to execute SSH commands and transfer files via SFTP through a centralized HTTP gateway with per-client authorization, layered command policies, audit logging, rate limiting, circuit breakers, and connection pooling.
Provides comprehensive SSH and serial console access to manage servers and network devices, including Cisco and Aruba switches, with file transfer and network diagnostics.
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.
An event-driven MCP server that enables agents to share context streams, publish and subscribe to events, manage tasks, and follow protocols, keeping a fleet of agents mutually context-aware in real time.
Enables MCP clients to store encrypted SSH host credentials and execute remote commands over pooled SSH connections, including single commands, prompt-answering interactive runs, and multi-step playbooks. Hosts can be listed, created, updated, and deleted through tools, with credentials kept server-side and never echoed back.
IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real
A persistent memory system for Large Language Models (LLMs) that enables continuous learning and knowledge retention across sessions through the Model Context Protocol (MCP).
MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.
Enables AI coding agents to offload large file reads and boilerplate code generation to cheaper or local worker models through MCP, reducing token consumption and keeping context clean.
AIFeed Open Standard. AIFeed Protocol to the building tools section. AIFeed enables web publishers to provide verified, token-efficient content feeds for AI agents.
Provides time intelligence, persistent memory and complete traceability for AI coding agents. Enables sophisticated activity tracking, timezone management, smart reminders, and cross-session continuity with support for both per-project and centralized storage modes.