DevOps & Infrastructure

The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

Official Terraform MCP server

Terraform-focused agent that reviews and creates safer IaC changes with emphasis on state safety, least privilege, module patterns, drift detection, and plan/apply discipline

IaC review for Terraform

Expert in Pulumi infrastructure as code for cloud resources

Pulumi infrastructure code

Create Ansible playbooks for configuration management

Ansible playbook authoring

Generate Docker Compose configurations for multi-container applications with best practices

Compose files from descriptions

Create Kubernetes deployments, services, and configurations with best practices

K8s manifests and deployments

Official GitHub MCP server for repository management. Create issues, manage pull requests, review code, search repositories, and interact with GitHub's full API directly from Claude Code.

Repos, issues, and Actions

GitLab DevOps platform integration. Manage repositories, merge requests, CI/CD pipelines, issues, and wikis. Full access to GitLab's comprehensive DevOps lifecycle tools.

GitLab projects and pipelines

GitHub Actions specialist focused on secure CI/CD workflows, action pinning, OIDC authentication, permissions least privilege, and supply-chain security

Workflow authoring and debugging

Streamline your git workflow with simple commands for committing, pushing, and creating pull requests

Streamlined git commit workflows

Comprehensive Azure cloud development tools including Infrastructure as Code, serverless functions, architecture patterns, and cost optimization for building scalable cloud applications.

Cloud-native development on Azure

Google Firebase MCP integration. Manage Firestore databases, authentication, cloud functions, hosting, and storage. Build and manage your Firebase backend directly from your development workflow.

Serverless hosting and backend

AWS development with CDK best practices, cost optimization MCP servers, and serverless/event-driven architecture patterns

AWS services and infrastructure

Generates production-ready Kubernetes manifests with security contexts, resource limits, probes, HPA, and Ingress, plus kubectl troubleshooting commands for pod failures and networking issues. Use when deploying to K8s or debugging cluster problems. Trigger with "deploy to kubernetes", "debug failing pods".

Kubernetes cluster operations

An MCP server giving access to Grafana dashboards, data and more.

Grafana dashboards and queries

MCP server for Sentry - error monitoring, issue tracking, and debugging for AI assistants

Error tracking and release health

Claude Code skill pack for Sentry (30 skills)

Sentry integration pack

Expert in Grafana dashboard creation, visualization best practices, and alerting systems. Proactively used for monitoring and reporting.

Grafana dashboard review

Expert in Prometheus for monitoring, alerting, and performance optimization.

Prometheus queries and alerts

Monitor infrastructure, manage agents and deployments, track metrics, logs, and events

Datadog metrics and monitors