Cloud MCP Servers

Specialized MCP servers that bring AWS best practices directly to your development workflow.

Deploy, configure & interrogate your resources on the Cloudflare developer platform (Workers/KV/R2/D1).

Interact with Supabase projects - database, auth, storage, and edge functions.

Interact with the Neon serverless Postgres platform.

Deploy and manage Vercel projects, domains, and deployments.

Create, build, deploy, and manage your websites with Netlify web platform.

Manage Docker containers, images, and compose files.

Run code in secure sandboxes hosted by E2B for safe code execution.

Manage Kubernetes clusters, pods, deployments, and resources.

Manage Terraform configurations and infrastructure as code.

Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.

Access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more.

Deploy code to Google Cloud Run and interact with GCP services.

Firebase's experimental MCP Server to power your AI Tools.

Interact with the Heroku Platform through LLM-driven tools for managing apps, add-ons, dynos, and databases.

Manage DigitalOcean droplets, databases, and infrastructure.

Introspect and query your apps deployed to Convex.

Fast and secure execution of your AI generated code with Daytona sandboxes.

Code execution and development environment.

Cloud development environments.

Cloud development environments.

Instant development environments.

Cloud development and instant environments.

Deploy your project to the cloud seamlessly with the Defang platform.

Navigate your Aiven projects and interact with PostgreSQL, Kafka, ClickHouse, OpenSearch.

Query and manage AWS DynamoDB tables using natural language. Supports single-table design patterns, GSIs, and batch operations.

Distributed SQL database MCP server. Execute transactions, manage schemas, and query CockroachDB with full PostgreSQL-compatible SQL.

Deploy and manage applications on Fly.io. Scale machines, inspect logs, manage secrets, and orchestrate global deployments via AI.

Deploy, manage, and monitor projects on Railway. Create environments, deploy from GitHub, manage variables, and view logs through AI.

Manage Render services, databases, and deployments. Trigger deploys, inspect build logs, scale instances, and manage environment variables via AI.

Interact with Amazon S3 buckets and objects. Upload, download, list, and manage files, configure bucket policies, and analyze storage costs.

Invoke and manage AWS Lambda functions. Test functions locally, deploy code, view execution logs, and manage layers and event source mappings.

Manage EC2 instances, security groups, AMIs, and VPCs. Start/stop instances, query metadata, analyze costs, and automate infrastructure tasks.

Manage Azure Blob Storage containers and blobs. Upload and download files, configure access tiers, manage lifecycle policies, and inspect metadata.

Access and manage Google Cloud Storage buckets and objects. Transfer files, configure IAM permissions, set retention policies, and analyze storage usage.

Manage Linode/Akamai Cloud instances, object storage, and Kubernetes clusters. Deploy, resize, and monitor cloud resources via natural language.

Manage Hetzner Cloud servers, load balancers, and volumes. Deploy European cloud infrastructure, manage firewalls, and monitor resource usage via AI.

Affordable cloud storage MCP for Backblaze B2. Manage buckets, upload/download files, configure lifecycle rules, and generate presigned URLs.

Manage BunnyCDN zones, storage, and video streaming. Purge cache, upload to bunny storage zones, manage pull zones, and analyze bandwidth usage.

Manage Fastly CDN services, VCL configurations, and edge logic. Purge cache, deploy edge functions, and monitor real-time performance metrics.

Declarative GitOps continuous delivery for Kubernetes. Manage applications, sync deployments, inspect health status, and rollback releases via AI.

Kubernetes package manager MCP server. Install, upgrade, and roll back Helm charts. Inspect release history, manage repositories, and debug chart templates.

Service mesh and configuration management MCP. Query service discovery, manage KV store, inspect health checks, and configure intentions.

Kubernetes-native CI/CD pipeline MCP. Manage Tekton tasks, pipelines, and runs. Inspect logs, trigger pipelines, and debug task failures with AI.

Access Google's Gemini and other AI models via Vertex AI. Fine-tune models, run batch predictions, and manage ML pipelines with enterprise-grade security.

Deploy and manage ML models on AWS SageMaker. Run inference on endpoints, manage training jobs, track experiments, and use SageMaker Studio capabilities.

Run Python functions in the cloud with Modal. Deploy serverless GPU workloads, schedule jobs, build ML pipelines, and access data lakes without infrastructure setup.

Cloud security platform MCP for Wiz. Query misconfigurations, vulnerabilities, and security risks across multi-cloud environments with natural language.

Cloud security analytics MCP for Lacework. Investigate threats, query behavioral anomalies, and analyze cloud activity across AWS, Azure, and GCP.

Real-time image processing and CDN MCP for Imgix. Transform images on-the-fly with URL-based parameters, generate responsive srcsets, and manage rendering pipelines.

Manage multi-container Docker applications with Compose MCP. Start, stop, and scale services, inspect container logs, and manage service dependencies.

Advanced Kubernetes cluster management MCP. Manage namespaces, deployments, services, ingresses, and custom resources beyond what the basic kubectl server offers.

Execute AWS CLI commands via MCP. Query any AWS service, manage resources across regions, configure profiles, and automate complex multi-service workflows.

Execute gcloud commands via MCP. Manage GCP resources across all services, configure projects and IAM, and automate Google Cloud workflows.

Execute az commands via MCP. Manage Azure resources, subscriptions, and services. Automate infrastructure deployments and resource group management.

Manage Proxmox Virtual Environment hypervisor via MCP. Create and control VMs and LXC containers, manage storage, configure networking, and monitor cluster nodes.

Deploy and manage Cloudflare Pages projects via MCP. Trigger deployments, manage environment variables, configure custom domains, and inspect build logs.

Serverless PostgreSQL with branching MCP for Neon. Create database branches for dev/test, auto-scale compute, and manage connection pooling for modern apps.

Manage Render deployments from your AI assistant. Trigger deploys, check service status, manage environment variables, inspect build and deploy logs, and configure scaling settings.

Self-hosted Heroku/Netlify alternative control via MCP. Manage applications, databases, and services on your own infrastructure. Deploy from Git, manage environment variables, and monitor logs.

Full-stack backend platform MCP server. Manage Appwrite databases, authentication, storage, and functions from your AI assistant. Create documents, manage users, and trigger serverless functions.