#devops

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. The deployment is IP-first and free; attaching a custom domain with HTTPS is an optional later step. The connector can register the user, recommend a VPS, run and monitor the full deploy, and answer questions about the project via get_project_info.

MCP server for YAML: validate & lint, convert between 10 formats, visualize as diagrams, and create/edit your saved diagrams — from your AI editor.

An MCP server that scans your lockfiles (npm, PyPI, Go, Rust, Ruby, PHP) for known vulnerabilities, enriches with EPSS exploit probability scores, and recommends fix versions. $14/mo — not per-seat.

An MCP server that scans your lockfiles (npm, PyPI, Go, Rust, Ruby, PHP) for known vulnerabilities, enriches with EPSS exploit probability scores, and recommends fix versions. $14/mo — not per-seat.

Production-grade MCP server for MikroTik RouterOS that enables AI agents and MCP-compatible clients like Claude, Cursor, and Codex to securely inspect, troubleshoot, audit, and automate RouterOS environments using natural language.

TypeScript stdio MCP server for operating Docker-based local-ydb deployments via local or SSH-backed profiles. Supports bootstrap, diagnostics, auth hardening, schema permissions, storage workflows, dump/restore, upgrades, and plan-first mutating operations.

B2AI infrastructure API for autonomous agents. Normalizes AWS, Azure, and GCP into a unified schema. Returns execution kits (Terraform + CLI), cost estimates, and cross-provider recommendations. Built for AI agents that need to discover, evaluate, and deploy cloud infrastructure programmatically.

Kubernetes cluster cost analysis and optimization. Query costs, find savings opportunities, get rightsizing recommendations, and analyze pod spend across AKS, EKS, and GKE directly from Claude.

Conversational AI agent that designs AWS/GCP architecture, generates Terraform, estimates costs, and deploys — all through MCP.

stdio MCP server from @archrad/deterministic—same engine as the archrad CLI. Validates architecture IR (structural + IR-LINT), merges local PolicyPack YAML, checks export drift vs generated files on disk, and returns static archrad_suggest_fix guidance per built-in rule code. No cloud account required; runs locally in Cursor, Claude Desktop, and other MCP hosts. Apache-2.0. Docs: docs/MCP.md in the repo.

Production-grade MCP server that opens persistent SSH sessions and exposes safe, structured tools for command execution, file operations, transfers, tunnels, package and service management, metrics, resources, and guided prompts. Secure by default: strict host-key verification, root login disabled, raw sudo policy-gated, destructive commands denied unless explicitly allowed.

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

Cross-platform remote connection manager (SSH, RDP, VNC, web) with a built-in MCP server exposing 60+ tools. Connect Claude Code or Codex to your infrastructure and let AI agents execute commands in SSH terminals, take screenshots of RDP/VNC desktops, drive web sessions, and read credentials from an AES-256 encrypted vault — all over a local Unix socket. Bring-your-own-subscription, Apache 2.0 open source, free for personal use. Runs on macOS, Windows, and Linux.

CloudForge MCP lets Claude visualise your cloud architecture diagrams, generate production-ready Terraform HCL from natural language, import existing IaC, and manage Azure, AWS, and GCP resources — all from chat. Authenticate with a CloudForge API key (cf_live_...) generated from cloudforge.cloud/account. No browser token copying required. Tools included: • cloudforge_diagram_to_mermaid — render any saved diagram inline in Claude • cloudforge_architecture_summary — resource counts, central components, inline diagram • cloudforge_generate_terraform — generate .tf files from a description • cloudforge_export_terraform_from_diagram — export Terraform from a saved diagram • cloudforge_import_terraform — parse existing HCL → diagram + Mermaid preview • cloudforge_chat — ask the AI Architect for cost, security, and best practice advice • cloudforge_suggest_resources — get AI-recommended resources for a use case • cloudforge_list_diagrams / get / save / delete / recent — full diagram management • cloudforge_list_members / invite / remove — organisation management

DSM for developers — start, stop, audit, and analyze your entire dev stack with one command. MCP server with 27 tools for Claude Desktop & Claude Code. Supports Windows, WSL, macOS, Linux, and Docker. Built in Rust.

Cloud cost management MCP server for Azure. Ask your AI about your cloud bill.

Deploy any app to any cloud. 20 MCP tools for deployments, previews, and instance management. Supports AWS, GCP, Azure, and more via Nometria.

Monitor websites, APIs and services with 127 AI tools across 23 protocols (HTTP, TCP, DNS, SSL, ICMP, gRPC, SMTP, SOCKS5, MTProxy, and more). Zero-config OAuth — just add the URL, browser opens, log in, done. Tag filtering for Cursor/Cline, BM25 tool search, Code Mode sandbox. 8 alert channels: Telegram, Discord, Email, Slack, MS Teams, Mattermost, Webhook, Web Push.

core pull requests for deployment risk using 36 signals: change entropy, DDL migration detection, CODEOWNERS violations, coverage gaps, and more. Get a 0-100 risk score before you merge. Free tier available at koalr.com

Open-source AWS security scanner with Attack Chains, Breach Cost Estimation, and MCP Server. 47 checks across 15 AWS services. Every finding includes copy-paste remediation (CLI + Terraform) and a dollar-risk estimate with verified source. First free standalone AWS security MCP server - Prowler and Wiz require paid SaaS.

AI-powered connection manager with 60+ MCP tools for SSH terminal execution, RDP desktop control, VNC interaction, web session automation, and encrypted credential vault management. Manage SSH terminal sessions, control RDP desktops, interact with VNC servers, automate web portals, and securely access an encrypted credential vault — all through natural language via Claude Code, Cursor, or any MCP client. Cross-platform: macOS and Windows.

mctl is a self-service Kubernetes platform that automates infrastructure management via natural language. It integrates GitOps (ArgoCD), secrets management (Vault), and automated service onboarding into a unified set of 30+ MCP tools. Engineering teams can deploy, scale, and monitor their clusters directly from Claude, Cursor, or Gemini without manual CLI operations.

Your AI agent's interface to incident management. Acknowledge, escalate, page, and resolve incidents from Claude Code, Cursor, or any MCP client. Covers the full incident lifecycle: incidents, on-call, services, postmortems, and teams.

Let Claude manage your Linux servers via SSH with a fully interactive browser terminal. Both AI and user can type commands in the same shared session - you see everything in real-time and can intervene at any moment. Claude gets smart-filtered summaries or full unfiltered response when needed, for optimal token efficiency while you maintain full visibility and control. Easy install via pip (pip install remote-terminal-mcp). Includes multi-server management, SFTP file transfers, batch scripts, recipe automation, and full command audit trail persisted over multiple sessions.

Deploy full-stack apps directly from any AI assistant. 75+ MCP tools for projects, deployments, databases, environments, security & more.

What Staticbot does Staticbot is a managed operations platform for complex, long-running deployment workflows. It hosts static websites and web apps inside your own AWS account using S3 and CloudFront — no vendor lock-in, no PaaS markup, full ownership of the infrastructure. Core workflows: Deploy to AWS — Static websites and web apps to S3 + CloudFront CDN, with custom domains and automatic SSL via ACM Supabase migration — Orchestrates moving a full Supabase project (database, edge functions, storage, auth) to your own AWS infrastructure Multi-stage deployments — Dev, preview, and production stages per website with independent lifecycle management Staticbot owns the things agents handle poorly: state that persists across sessions, credentials that should never appear in a context window, approval gates before destructive operations, and accumulated operational knowledge from real-world failure modes.

MCP server for DeployHQ that enables AI assistants to manage deployments. Provides 7 tools: list projects, get project details, list servers, list/get deployments, get deployment logs for debugging, and create new deployments. Works via npx with no installation required. Supports Claude Desktop, Claude Code, and any MCP-compatible client.

MCP server for Webmin system administration. 61 tools across 12 modules covering system monitoring, services, users, cron, packages, files, storage (SMART + LVM), security (Fail2ban), MySQL databases, Webmin ACL, and disk quotas. Four-tier safety framework with safe mode on by default. Python, MIT license, Docker and local deployment supported.

Condition watcher for AI assistants — wait for ports, files, URLs, processes, and more

MCP server for the FortiMonitor v2 monitoring API. 241 tools across 33 modules covering server management, outage monitoring, maintenance windows, metrics, notifications, cloud monitoring, SNMP, dashboards, reporting, and more. Unofficial community project, not affiliated with Fortinet. Python, MIT license, Docker and local deployment supported.

Deploy, manage, and scale full-stack applications directly from your AI assistant. CreateOS MCP gives you 75+ tools covering project creation, GitHub/Docker/file deployments, environment management, databases (PostgreSQL, MySQL, Kafka, Valkey), security scanning, compute management, template marketplace, and billing — all from a single MCP endpoint.

AI-native cloud platform with 218 MCP tools. Deploy web services, manage PostgreSQL, MySQL, MongoDB, Redis, Meilisearch, and S3 storage from your AI agent.

A remote MCP server deployed on Railway that exposes all 14 Softricks iDig tools to any MCP-compatible AI client. One config entry and your AI assistant has professional DNS diagnostics available in every conversation → https://mcp.softricks.net/sse Add that to Claude Desktop or Cursor, restart, and you can ask things like: "My emails are going to spam for example.com — what's wrong?" "Did my DNS changes propagate yet?" "Is our SSL cert about to expire?" "Run a full security audit on this domain." And your AI will call live DNS infrastructure to answer.

ShellGuard is an MCP server that lets LLM agents securely SSH into remote Linux hosts with read-only shell access. Instead of copy-pasting terminal output, your AI can run safe diagnostics, inspect logs, query systems, and troubleshoot production, staging, or dev environments autonomously. All commands are parsed, validated against a strict allowlist, and executed with timeouts and output limits—blocking destructive operations while guiding the LLM to safe alternatives.

mcp-probe-kit is a protocol-level toolkit designed for developers who want AI to truly understand their project's intent. It's not just a collection of 21 tools—it's a context-aware system that helps AI agents grasp what you're building.

AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

Connect Claude to your Blacksmith CI data. Query workflow runs, analyze test failures, detect flaky tests, compare test regressions between branches, and monitor usage—all through natural conversation. Features 21 tools including test analytics, cache stats, and log search. Zero-config authentication via Chrome cookies.

Monitor cron jobs and scheduled tasks. Get alerts when they don't run, see why they failed with captured output. Create and manage monitors directly from Claude, Cursor, or any MCP-compatible AI assistant. Get started: https://cronsignal.io/

MCP server for the Azure DevOps Boards

Access your team's 2FA codes from AI agents without sharing secrets. List accounts, generate TOTP codes, and maintain full audit trails. Built for DevOps, CI/CD pipelines, and automated workflows that need to authenticate to protected services.

A Model Context Protocol (MCP) server that provides secure SSH capabilities for AI assistants, enabling remote command execution, SFTP file transfers, and port forwarding with comprehensive security controls. Features: - 🔐 Secure SSH Command Execution - Execute commands on remote servers with granular security controls - 🛡️ Host Allowlisting - Only connect to pre-configured, trusted servers - 📁 SFTP File Operations - Upload, download, list, and delete files on remote servers - 🌉 SSH Port Forwarding - Create secure tunnels to access remote services - 🔄 Connection Pooling - Persistent connections with automatic management - 🔑 SSH Key Authentication - Secure authentication using SSH private keys - ⚙️ SSH Config Integration - Import servers from your existing SSJ config file - ✅ Command Allowlisting - Restrict which commands can be executed - 📦 Named Services - Pre-configured port forwarding services for common use cases - 🎯 Command Templates - Reusable parameterized commands with variable substitution

Orchestrates remote server tasks via SSH and SFTP with a persistent queue. Ideal for DevOps and AI agents.

MCP server for Terraform — automatically validates, secures, and estimates cloud costs for Terraform configurations. The Binadox solution integrates with any Model Context Protocol (MCP) client (e.g. Claude Desktop or other MCP-compatible AI assistants).

本插件为 Model Context Protocol（MCP）提供了企业级 OpenAPI 文档能力，自动聚合并标准化 企业微信 与 飞书 等的开放接口文档。 通过统一上下文调用、搜索和补全，开发者可在无需频繁查阅官网文档的情况下，快速获取接口定义、请求参数、响应结构及权限要求。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景。

The Octopus MCP Server provides your AI assistant with powerful tools that allow it to inspect, query, and diagnose problems within your Octopus instance, transforming it into your ultimate DevOps wingmate.

Docker MCP Server A comprehensive Model Context Protocol (MCP) server that provides advanced Docker operations through a unified interface. This server combines 16 powerful Docker MCP tools with 25+ convenient CLI aliases to create a complete Docker workflow solution for developers, DevOps engineers, and system administrators. 🌟 What Makes Docker MCP Server Special Docker MCP Server is not just another Docker wrapper - it's a complete Docker workflow enhancement system designed to make Docker operations more intuitive, secure, and efficient: 🎯 Unified Interface MCP Protocol Integration: Seamlessly works with MCP-compatible tools and IDEs CLI Convenience: 25+ carefully crafted aliases for common Docker workflows Consistent API: All operations follow the same patterns and conventions Cross-Platform: Full support for Linux, macOS, and Windows environments 🔒 Security-First Design Docker-Managed Security: All password operations handled by Docker daemon for maximum security Zero Password Exposure: Passwords never appear in command history, process lists, or arguments Token Authentication Support: Full support for Personal Access Tokens and service accounts Registry Flexibility: Secure login to Docker Hub, AWS ECR, Azure ACR, Google GCR, and custom registries CI/CD Security: Secure stdin password input for automated deployment pipelines Permission Management: Proper handling of Docker daemon permissions and credential storage 🚀 Developer Experience Comprehensive Help System: Every command includes detailed documentation with --help Smart Defaults: Sensible default configurations for common use cases Error Prevention: Built-in safety checks and confirmation prompts for destructive operations Rich Output: Formatted, colored output with clear status indicators 📊 Advanced Operations Complete Container Lifecycle: From build to publish with comprehensive registry support Multi-Container Management: Docker Compose integration with service orchestration Registry Publishing: Advanced image publishing with multi-platform support and automated workflows Network & Volume Management: Advanced networking and storage operations System Maintenance: Intelligent cleanup tools with multiple safety levels Development Workflows: Specialized commands for development environments

MCP-Airflow-API is a Model Context Protocol (MCP) server that transforms Apache Airflow REST API operations into natural language tools for LLM integration. Built for DevOps engineers, data engineers, and Airflow administrators who need intuitive cluster management capabilities.

MCP Ambari API is a powerful Model Context Protocol (MCP) server that enables seamless Apache Ambari cluster management through natural language commands. Built for DevOps engineers, data engineers, and system administrators who work with Hadoop ecosystems.

AI-powered development productivity platform that enhances software development workflows through intelligent automation and AI-driven assistance. Features Kubernetes deployment intelligence with semantic capability management, documentation testing & validation, organizational pattern management, and shared prompts library.

Complete GitLab MCP integration with 72 specialized tools for comprehensive DevOps management

Run NRQL, NerdGraph, and REST v2 operations to query data, manage incidents, create synthetics, and annotate deployments — all from your MCP client. A full‑featured New Relic MCP server that goes far beyond basic NRQL. It exposes safe, typed tools for APM discovery, alert policy/incident workflows (including acknowledge), entity search and deep details, creating Synthetics Browser monitors, and New Relic REST v2 coverage for deployments and metrics with region awareness and auto‑pagination.

Devopness MCP server for DevOps happiness! Empower AI Agents to deploy apps and infra, to any cloud.

.NET bindings for VMware VIX API with Model Context Protocol server for AI-driven virtual machine automation. Enables natural language control of VMware VMs through AI assistants like Cursor IDE.

MCP server for managing your Fly.io infrastructure

A Discord.js app integrated with Model Context Protocol (MCP) server functionality to enable AI-driven Discord server administration and automation.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Azure DevOps (beta): https://www.cdata.com/download/download.aspx?sku=HNZK-V&type=beta

Model Context Protocol Server for IIS web server management

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

OPS is a MCP server that allows you to build, deploy and orchestrate unikernels on any cloud from AWS to GCP or Azure. Unikernels are single application virtual machines with no users, no shells and no ability to run other programs.

A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management. Enables LLMs to fetch PR details, analyse diffs, manage issues, and handle releases through a standardised interface

Model Context Protocol server for Cyclops

A collection of MCP servers.

让AI助手直接分析你的Grafana监控数据 - A Model Context Protocol server for Grafana data analysis

阿里云云效DevOps官方 MCP Server

Port is a developer portal-native AI that offers AI agents and an MCP server to build software catalogs, enable self-service actions, and connect directly to your IDE for smooth workflows.

ZeroSync’s AI-driven infrastructure provisioning tool enhances deployment capabilities, particularly for AI and agentic application initiatives. This tool provides: Increased visibility into deployment complexities, simplifying DevOps processes. Reduced DevOps costs through automation and optimization. Greater flexibility for DevOps teams, enabling faster iteration and scalability. Integrates with existing IaC tools including Terraform and Pulumi.

A Model Context Protocol (MCP) server that enables AI assistants to integreate with Prometheus Alertmanager

AI-Assisted GitOps for Kubernetes clusters managed by Flux CD

Gives any LLM the tools to run network commands like ping, traceroute, mtr, HTTP and DNS resolve from any location in the world.

Remote Azure DevOps MCP Server

Jenkins Mcp

Bridge Tufin APIs to AI workflows: An open-source REST server with RBAC for SecureTrack and SecureChange integration.

A curated list of awesome MCP servers focused on DevOps tools and capabilities.

Repository for MCP server

An MCP server for Azure DevOps

List of MCP servers for Devops & SRE tasks

DevOps MCP Servers

An implementation of Model Context Protocol (MCP) server for Argo CD.

MCP Server wrapping the azure cli devops extension with prompts and better tooling

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.

An implementation of Model Context Protocol (MCP) server for Argo CD, enabling AI assistants to interact with your Argo CD applications through natural language.

MCP server to expose drone cicd server as tools

AI-Native Risk Intelligence Systems, DeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.

MCPServers in the DevOps domain.

Azure DevOps MCP C# server and client code

MCP-NixOS - Model Context Protocol Server for NixOS resources

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments

An MCP server for Azure DevOps

A Model Context Protocol server for Azure DevOps integration

An MCP server for querying the Azure DevOps API

A proof-of-concept MCP Server that can query Azure DevOps

Chat with your Kubernetes Cluster using AI tools and IDEs like Claude and Cursor!

MCP servers for DevOps tools and integrations. Created and maintained by the a37 team.

A Model Context Protocol (MCP) server that enables AI assistants to query and analyze Prometheus metrics through standardized interfaces.

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

Working implementation of a SSE Server MCP for interfacing with Azure Devops

MCP Server for the Azure DevOps API, enabling project management, repository operations, and more.

MCP Server for the Azure DevOps API, enabling project management, repository operations, and more.