DevOps MCP servers for Kubernetes, Docker, Terraform and CI/CD: let an AI assistant inspect clusters, read pipelines and help with infrastructure. 2,455 servers in this category.
Allows an AI client to read live router state and perform guarded configuration changes on MikroTik devices via the RouterOS API.
Enables AI assistants to inspect, diagnose, and manage Apache Flink clusters via the JobManager REST API.
Exposes Apache Airflow REST API operations as tools to manage DAGs, monitor runs, and check scheduler health.
Allows an AI client to inspect Spring Boot runtime data including beans, routes, health status, and database migrations via Actuator and OpenAPI.
$claude mcp add spring-runtime-mcp -- uvx spring-runtime-mcp
Verifies repository legibility and package functionality for both human developers and AI agents through static scorecards and cold-start gates.
$claude mcp add invigil -- uvx invigil
Allows an AI client to manage cloud infrastructure, Kubernetes clusters, CI/CD pipelines, and DevOps tools using natural language.
$claude mcp add devops-agent -- npx -y @devopsagent/mcp-server
Provides an autonomous and governed MLOps control plane for AI agents to investigate operational signals like data drift and model staleness.
$claude mcp add agentic-ops -- uvx agentic-ops
Lets an AI assistant diagnose Kubernetes clusters by querying pods, logs, events, workloads, services, and nodes in a read-only capacity.
$claude mcp add k8s-troubleshoot-mcp -- docker run -i --rm docker.io/yawgyamfiprem32/k8s-troubleshoot-mcp:1.0.0
Enables AI agents to reason about Kconfig dependencies, find verified fixes for configuration issues, and manage kernel configuration trees.
$claude mcp add kconfig-mcp -- uvx kconfig-mcp
Designs, prices, and deploys AWS and GCP cloud infrastructure from natural language requirements using Terraform.
$claude mcp add insideout-agent-skills -- docker run -i --rm docker.io/luthersystems/insideout-mcp:v0.36.3
Enforces runtime security policies for LLM agent tool calls on Kubernetes using OPA/Rego.
Runs and serves AI agents and apps inside a self-hosted multi-tenant runtime with governed tools, scoped credentials, and budget controls.
Lets an AI client investigate running systems through application health, logs, distributed traces, profiles, metrics, and SLO incidents.
Enables AI agents to query logs, perform statistical analysis, manage dashboards, and convert natural language to SPL using the LogEase platform.
Enables AI assistants to securely execute commands, manage infrastructure, and transfer files across multiple remote servers via SSH.
Enforces architectural governance by allowing AI agents to query live models, retrieve target patterns, and check file conformance against declared intent.
$claude mcp add archsteer -- uvx archsteer
Deploy and manage multi-zone Python MCP tool fleets on GKE, EKS, or AKS with built-in guardrails, SSO, and autoscaling.
$claude mcp add --transport http ramen https://{ramen_edge}/mcp
Lets an AI client manage app publishing on Huawei AppGallery by uploading binaries, updating metadata, and managing release lifecycles.
$claude mcp add huaweiappgallerymcp -- uvx huawei-app-gallery-mcp
Provides read-only observability for Kafka clusters, allowing AI agents to diagnose consumer lag, cluster health, and partition states.
$claude mcp add kafka-sentinel-mcp -- uvx kafka-sentinel-mcp
Lets an AI assistant deploy and manage backend web apps, APIs, workers, and managed Postgres databases.