Best Claude Code mcp servers for deployment & ci/cd on Ai (May 2026)

An MCP server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated code to decentralized storage networks like Greenfield, IPFS, and Arweave.

A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-architecture support

A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (`kubectl`, `helm`, `istioctl`, and `argocd`) using Unix pipes in a safe Docker environment with multi-architecture support.

An MCP server that allows AI agents to manage Kubernetes resources through Cyclops abstraction

A powerful MCP server that enables AI assistants to seamlessly interact with Portainer instances, providing natural language access to container management, deployment operations, and infrastructure monitoring capabilities.

A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.

MCP-K8S is an AI-driven Kubernetes resource management tool that allows users to operate any resources in Kubernetes clusters through natural language interaction, including native resources (like Deployment, Service) and custom resources (CRD). No need to memorize complex comma…

AI-powered SRE observability for Kubernetes and OpenShift with 40+ tools for Tekton pipeline debugging, log analysis, root cause analysis, and predictive monitoring.

One-stop backend services for WeChat Mini-Programs and full-stack apps. Provides specialized MCP tools for serverless cloud functions, databases, and one-click deployment to production with China market access through WeChat ecosystem.

OpenAPI-MCP: Dockerized MCP Server to allow your AI agent to access any API with existing api docs.

🏎️ 🏠 🍎 🪟 🐧 Give hands to AI. MCP server to run shell commands securely, auditably, and on demand on isolated environments like docker.

An ntfy MCP server for sending/fetching ntfy notifications to your self-hosted ntfy server from AI Agents 📤 (supports secure token auth & more - use with npx or docker!)

Integrate with Docker to manage containers, images, volumes, and networks.

Universal deployment tracker for AI assistants with live status badges and deployment monitoring

MCP server for interacting with cloud deployments of Jetbrains Datalore platform. Fully incorporated Datalore API ( run, run interactively, get run data, fetch files )

Docker container management and operations through MCP

AI-powered architectural analysis server for software projects. Provides technology stack detection, ADR management, security checks, enhanced TDD workflow, and deployment readiness validation with support for multiple AI models.

Klever blockchain MCP server for smart contract development, on-chain data exploration, account and asset queries, transaction analysis, and contract deployment tooling.

A Dockerized Python MCP server that bridges your local AI (e.g., Claude Desktop, etc) with the QuantConnect API—empowering you to create projects, backtest strategies, manage collaborators, and deploy live-trading workflows directly via natural-language prompts.

Self-hosted knowledge backend for AI agents with hybrid vector + keyword search, container-isolated indexes, and 11 MCP tools. .NET, Docker-ready.

Self-hosted memory and governance layer for AI coding agents. 28 MCP tools with structured knowledge capture, hybrid search (semantic + BM25 + cross-encoder reranking), behavioral documentation nudges, cold-start codebase analyzer, and git-native storage. Single Docker container…

Zero-dependency MCP memory server. Single binary, 100% local, no Docker.

Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.

All-in-one homelab management MCP server. Monitor system resources, manage Docker containers, Wake-on-LAN, scan networks, check open ports, and run alerts — across multiple servers via SSH. Single 10MB binary, zero dependencies.

Comprehensive Linux server security audit with 89 CIS Benchmark controls, NIST 800-53, and PCI-DSS compliance checks. Real-time monitoring with anomaly detection across 23 analyzers: firewall, SSH, fail2ban, Docker, CVE, rootkit, SSL/TLS, filesystem, network, and more.

Verify AI agent communication protocols using session types. Formal specification with Lean 4 proofs, linter, formatter, and LSP. Catches deadlocks and role violations before deployment.

MCP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

vet-mcp checks open source packages—like those suggested by AI coding tools—for vulnerabilities and malicious code. It supports npm and PyPI, and runs locally via Docker or as a standalone binary for fast, automated vetting.