DevOps & Infrastructure MCP servers
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.
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.
Lets an AI agent explore Akamai account configurations including CDN properties, EdgeWorkers, DNS zones, and network lists in a read-only manner.
$claude mcp add readonly-mcp-akamai -- uvx readonly-mcp-akamaiGenerates, reviews, and imports cloud architecture diagrams for AWS, Azure, and GCP using official icons and Terraform or GCP inventory data.
$claude mcp add architecture-diagrams -- uvx arch-diagram-mcpProvides isolated development environments per git worktree by managing dedicated ports, environment variables, and database slices.
$claude mcp add binky -- uvx binkyExposes access point, switch, and wireless client status from Aruba Central to AI assistants via the GreenLake New Central API.
$claude mcp add aruba-central-mcp -- uvx aruba-central-mcpManage your AceData Cloud account, including services, pricing, API keys, billing, and deployments, through an AI client.
$claude mcp add acedatacloudmcp -- uvx mcp-acedatacloudEvaluates and scores proposed IT agent actions to provide decision intelligence and risk assessment before execution.
$claude mcp add mcp -- npx -y @bighub/bighub-mcpBuild and run MCP servers from Python tool, resource, and prompt files, with auth, telemetry, and a debugger.
Lets an AI client log in to remote Windows machines over WinRM and execute commands in concurrent sessions.
Lets an AI agent drive a local Xilinx Vivado session to run synthesis, implementation, timing and bitstream workflows via Tcl.
Lets an AI agent inspect jobs and debug cron schedules, and optionally control them, from a cronstable scheduler.
Combines workflow profiling, chaos experiments, and sidecar discovery behind one MCP interface for AI agent operations.
$claude mcp add mcp-server -- uvx deep-agentic-core-mcpLets AI clients manage network automations, run workflows, monitor platform health, and configure devices on Itential Platform.
Lets an AI client control Apache Airflow via APIs to manage DAGs, tasks, and connections.
$claude mcp add airflow-mcp-server -- uvx airflow-mcp-serverLets an AI client deploy apps, manage releases and listings, reply to reviews, and check subscriptions on Google Play.
Lets an AI client browse, register, compare, export, and migrate Kafka Schema Registry schemas across multiple registries.
Lets an AI client run policy-controlled, audited SSH commands across a fleet of servers.
Enables AI agents to orchestrate workflows, manage DAGs, control process instances, and perform data operations within Apache DolphinScheduler.
$claude mcp add dolphin-mcp-pilot -- docker run -i --rm ghcr.io/iflytek/dolphin-mcp-pilot:0.3.1Prices infrastructure and AI agent commands before they execute to prevent unexpected cloud and model spend.
$claude mcp add finopsmcp -- uvx finops-mcpA local-first FinOps copilot that monitors and prices cloud infrastructure and AI agent spending within your editor or terminal.
$claude mcp add finopsmcp -- uvx finops-mcpEnables AI assistants to monitor, troubleshoot, and predict issues across Kubernetes, OpenShift, and Tekton environments using specialized SRE tools.
$claude mcp add lumino-mcp-server -- uvx lumino-mcp-server