"Red" matching MCP servers:

Enables managing multiple remote Linux hosts over SSH via MCP, with command execution, SFTP file operations, and Windows DPAPI-protected credentials.

Deterministic repository context packing for AI coding agents: selects, compresses, and budgets only the files a task needs. Measured 83% fewer input tokens at the same task coverage, fully local, no LLM in the loop.

A safety-first local MCP server for ROM reverse-engineering, enabling project status checks, file verification, Bakugan DS build/quality tasks, and read-only DeSmuME/ARM9 debugging.

Local-first CLI and MCP server for redacting sensitive text before sharing logs, configs, and errors with AI tools.

Stateful radare2 MCP server tailored for reverse-engineering WiFi firmware, with token-limited outputs and baked-in Thumb-2 disassembly recipes.

Enables secure remote SSH command execution with strict read-only enforcement, allowing safe delegation of SSH access to Claude while preventing write operations. Supports connection pooling, command validation, and comprehensive logging for audit trails.

Terminal\[X]MCP is a Model Context Provider (MCP) server that enables intelligent terminal automation through a multi-agent system with distributed specialized roles for command execution, security validation, and real-time monitoring.

Enables autonomous DFIR investigation by turning the SIFT toolchain into evidence-safe MCP functions, with self-correction, corroboration, and traceable audit trails.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

Enables AI agents to manage a homelab by providing tools for Docker, Ollama, and system monitoring through the Model Context Protocol.

Enables Claude to run Kubernetes CLI tools (kubectl, istioctl, helm, argocd) in a secure, containerized environment via the Model Context Protocol.

A Model Context Protocol server for ROS 2, enabling AI assistants to introspect and interact with ROS 2 systems.

Enables AI agents to safely explore and diagnose remote servers by providing a read-only sandbox with controlled access to files, logs, Docker, and databases. It exposes MCP tools that allow natural-language investigation and direct command execution without write permissions.

Connects Windows-based Codex to the Cursor Agent CLI in WSL, providing a run_cursor tool to execute tasks in specified working directories and resume sessions per directory.