Deployment & DevOps MCP 서버

Docker

Executes code in isolated Docker containers and returns the results to language models.

Tuyactl

Control Tuya smart home devices from the command line using local keys.

Worker17

Monitors worker productivity and automates termination based on predefined criteria.

Cmd-Line Executor

Executes command-line commands and returns their output, status code, and errors.

Gotify

Sends Gotify push notifications from an MCP server environment.

Origin

Manages multiple MCP servers through a single proxy.

Ops

Manages unikernels using the nanos/ops toolchain through an mcp server.

Planka

Manage projects efficiently with collaborative Kanban boards for smooth and effective teamwork.

Commands

Defines and executes custom command-line operations for a server using templated configurations.

ChaosPilot

Automatically analyzes error, warning, and critical logs using AI agents to detect patterns, classify incidents, and recommend fixes.

Looking Glass

Provides extensive network probing and diagnostic capabilities from multiple global vantage points.

OPNsense

Provides OPNsense API functionality through a Model Context Protocol (MCP) interface, enabling interactive network and system management.

Hero

Provides a professional template and framework for building robust Model Context Protocol (MCP) servers in Python.

ExamPrepAgent

Assists students in preparing for any exam or test by serving as an intelligent, AI-powered study companion.

Nexus

Unify diverse tools and capabilities through the Model Context Protocol, allowing AI systems to interact with specialized services with live progress updates.

Automated Pentest Suite

Performs AI-powered, full security checks using a dockerized pentesting suite.

Terraform Ingest

Ingests Terraform multi-repository module data, creating structured JSON summaries and vector embeddings for AI-powered RAG and semantic search.

Google Threat Intelligence

Integrates Google's Threat Intelligence capabilities with AI assistants and custom applications via the Model Context Protocol.

BentoRun

Enables AI agents to execute Python code securely within isolated environments.

Hefesto

Prevents technical debt and security vulnerabilities by performing AI-powered pre-commit code quality analysis with ML semantic capabilities across 21 languages and formats.