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MCP server category

Cloud and infrastructure MCP servers

Let assistants read docs, inspect resources and check deployments, with tight limits.

  • 15 MCP servers

Cloud servers let an assistant search provider documentation, list resources, read logs and, in some cases, change infrastructure. For engineering teams, that speeds up investigating incidents and answering questions about what is running where.

Infrastructure changes can take systems down. We keep these servers read-only by default, and use separate, tightly scoped credentials for any action.

Cloud and infrastructure

All cloud and infrastructure mcp servers

Cloud and infrastructure

AWS

By AWS Labs (Amazon Web Services)

The AWS API MCP server from AWS Labs lets AI run AWS CLI commands, suggest commands and plan changes, with read-only and consent modes.

  • Official
Files and storage

AWS S3

By Amazon Web Services

Amazon S3 is handled through the managed AWS MCP Server, which lets AI run scripted AWS actions, create presigned links and search AWS docs.

  • Official
Cloud and infrastructure

Azure

By Microsoft

Microsoft's Azure MCP server lets AI work with many Azure services, from storage and Key Vault to SQL, monitoring and AKS, with a read-only mode.

  • Official
Databases

BigQuery

By Google Cloud

Google's remote BigQuery MCP server lets AI list datasets and tables and run SQL, with a read-only query tool and IAM controls.

  • Official
Cloud and infrastructure

Cloudflare

By Cloudflare

Cloudflare's Code Mode MCP server lets AI search Cloudflare docs and the API and execute API calls, within the scopes you grant.

  • Official
Cloud and infrastructure

Coolify

By Coolify (coollabs)

Coolify's official MCP server lets AI see self-hosted infrastructure, find unhealthy resources, review deployments and deploy with the right token.

  • Official
Cloud and infrastructure

DigitalOcean

By DigitalOcean (digitalocean-labs)

DigitalOcean's MCP server lets AI list and inspect resources and create, update and delete apps and infrastructure.

  • Official
Developer tools

Docker

By ckreiling (community)

A community MCP server that lets AI list, run, stop and remove Docker containers and manage images, networks and volumes.

  • Community
Cloud and infrastructure

Google Cloud

By Google (googleapis GitHub org)

Google's gcloud MCP servers let AI run gcloud commands, read logs, metrics, alerts and traces, and work with Cloud Storage.

  • Official
Developer tools

Kubernetes

By containers org (Red Hat-led open source project)

An open-source MCP server that lets AI read Kubernetes cluster state and logs and, if allowed, change resources and Helm releases.

  • Community
Databases

MongoDB

By MongoDB

MongoDB's official MCP server lets AI query collections, run aggregations and manage Atlas clusters, with a read-only flag for safe use.

  • Official
Cloud and infrastructure

Netlify

By Netlify

Netlify's official MCP server lets AI read account, team and project data and create, configure and deploy Netlify projects.

  • Official
Databases

Snowflake

By Snowflake

Snowflake's managed MCP server exposes admin-defined tools, such as Cortex agents, Cortex Analyst, Cortex Search and SQL, to AI assistants.

  • Official
Databases

Supabase

By Supabase

Supabase's official hosted MCP server lets AI work with your Supabase projects: tables, SQL, migrations, edge functions, branches and docs.

  • Official
Cloud and infrastructure

Vercel

By Vercel

Vercel's official MCP server lets AI search Vercel docs, list teams, projects and deployments, read build and runtime logs and deploy with confirmation.

  • Official

How to choose

How to choose in this category

Start with documentation and read-only servers. Use a dedicated role with minimal permissions, never production admin keys, and require review for any change an assistant proposes.

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