Deployment & DevOps MCP ServersDeployment & DevOps

Zabbix MCP Server

🔌 Complete MCP server for Zabbix integration — Connect AI assistants to Zabbix monitoring with a single unified tool covering 100% of Zabbix APIs. Includes read-only mode and documentation tools for seamless exploration of hosts, items, triggers, templates, problems, and more.

Zabbix MCP Server

MCP server for the complete Zabbix API - 237 tools, multi-server, OAuth 2.1 + bearer auth, PDF reports, systemd ready. Works with ChatGPT, Claude, VS Code, Codex, JetBrains and any MCP client.

MCP Server Synology

💾 Model Context Protocol (MCP) server for Synology NAS - Enables AI assistants (Claude, Cursor, Continue) to manage files, downloads, and system operations through secure API integration. Features Docker deployment, auto-authentication, and comprehensive file system tools.

MCP Victoriametrics

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

Homelab Monitor

Self-hosted homelab dashboard in one container — GPU, local-AI VRAM, Docker, systemd, energy costs. Read-only MCP server so AI agents can explore it.

Opik MCP

Model Context Protocol (MCP) server for Opik, the open-source LLM observability and evaluation platform, built by Comet. Read traces, log scores, and manage prompts from Claude Code, Cursor, or VS Code.

Agentor

Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.

Agent Kernel

The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all mainstream communication channels seamlessly out of the box, production ready from day one.

K8s MCP Server

Manage Your Kubernetes Cluster with k8s mcp-server

Betterlytics

Open-source web analytics with session replay, error tracking, Core Web Vitals and uptime monitoring in one tool. Cookieless, EU-hosted cloud or self-hosted.

Alibabacloud Devops MCP Server

Yunxiao MCP Server provides AI assistants with the ability to interact with the Yunxiao platform. It provides a set of tools that interact with Yunxiao's API, allowing AI assistants to manage Codeup repository, Project, Pipeline, Packages etc.

Env Doctor

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

Teleskopio

teleskopio is a lightweight kubernetes web client

Ksail

All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant, and MCP server. Only requires Docker or a Cloud Provider.

Hayhooks

Easily deploy Haystack pipelines as REST APIs and MCP Tools.

MCP K8s

A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.

Docker

Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.

Aks MCP

A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.

Magg

Magg: The MCP Aggregator

Signoz MCP Server

MCP Server for SigNoz

Auth0 MCP Server

Connect LLMs and AI agents to Auth0 Management APIs via an MCP server. Use natural-language commands to create apps, deploy Actions, and query logs—runs locally and supports interactive tenant authentication for secure Auth0 administration from AI tools/CLIs.

Faramesh Core

Governance-as-Code for AI agents. Declarative constraints with deterministic enforcement. Provisioning Identity, Tool-based rules, Brokering Credentials & Ensuring safe deployment

MCP Server Infranodus

The official InfraNodus MCP server

End To End Agentic AI Automation Lab

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.