Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.
This project implements a customizable MCP server to execute RTE protocol.
The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class.
Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.
A cooperative guardrail for AI agents that blocks destructive shell commands, SQL statements, or cloud operations until a human approves them out-of-band, with a tamper-evident local ledger.
A remediation orchestrator exposed as an MCP server that provides primitives for SSH host inventory, CVE matching, live advisory lookups, compliance mapping, and Ansible playbook generation.
Enables AI assistants to manage local tmux sessions, including creating and controlling sessions, windows, and panes, sending commands, and capturing terminal output.
A comprehensive MCP server for network device management via SSH/Telnet. Supports multiple vendors such as Cisco IOS and BDCOM, enabling AI assistants to execute commands and manage routers, switches, and firewalls.
A cross-platform MCP server providing secure, user-approved privilege escalation for Cursor agents, with tools for running commands as admin on Windows and root on Linux.
Enables programmatic control over tmux terminal sessions for SSH access, command execution, and terminal automation. Supports creating sessions, sending commands, capturing output, and managing multiple panes for interactive debugging and monitoring.
A lightweight MCP server that provides AI assistants with access to a system's terminal through a secure terminal tool. It enables users to execute shell commands and receive stdout, stderr, and exit codes directly within an MCP-compatible client.
Enables interaction with Railway cloud platform through the CLI to manage projects, services, deployments, and environments. Supports creating projects, deploying templates, managing environment variables, and monitoring logs through natural language commands.
A Docker-based MCP server that grants AI agents direct access to a comprehensive Kali Linux penetration testing toolkit through an isolated container environment.