The best DevOps MCP servers
Infrastructure your agent can actually reach. These servers expose clusters, containers, pipelines and hosting platforms as callable tools, so "why did that deploy fail?" is a question rather than a twenty-minute dig through logs.
Official connectors first, then verified entries, then by how many tools they expose.
Cloudflare Workers
cloudflare
Deploy and manage Cloudflare Workers, KV stores, R2 buckets, and D1 databases directly through MCP.
Docker
docker
Manage Docker containers, images, volumes, and networks through MCP. Build, run, and monitor containerized applications.
Grafana
grafana
Query and manage Grafana dashboards, data sources, and alerts. Analyze metrics and create visualizations.
AWS
aws
Amazon Web Services integration. Manage S3, Lambda, DynamoDB, and other AWS services through MCP.
Sentry
sentry
Error monitoring and performance tracking. Search issues, get stack traces, and analyze error patterns.
Terraform
hashicorp
Infrastructure as code management. Plan, apply, and manage cloud infrastructure declaratively.
AWS S3
aws
Amazon S3 bucket operations. Upload, download, list, and manage objects in S3 buckets.
Datadog
datadog
Infrastructure monitoring and APM. Query metrics, traces, and logs for comprehensive observability.
Axiom
axiom
Log management and observability platform. Query, analyze, and visualize log data for debugging and monitoring.
Heroku
heroku
Inspect and manage Heroku apps, dynos, add-ons and logs through the official Heroku MCP server.
Kubernetes Manager
flux159
Full Kubernetes management including deployments, services, pods, logs, and cluster operations.
PagerDuty
nicekid1
Incident management integration. Create incidents, manage on-call schedules, and track response times.
CircleCI
nicekid1
CI/CD pipeline management. Trigger builds, view workflow status, and manage project settings.
Kubernetes MCP
strowk
Kubernetes cluster management. Get pods, services, deployments, and cluster state through MCP.
Render
render
Cloud platform for deploying web services, databases, and cron jobs. Manage deployments and scaling.
Compare all 15 at a glanceShowHide
| Server | Tools | Status |
|---|---|---|
| Cloudflare Workers | 8 | Verified |
| Docker | 8 | Verified |
| Grafana | 8 | Verified |
| AWS | 7 | Verified |
| Sentry | 7 | Verified |
| Terraform | 7 | Verified |
| AWS S3 | 8 | — |
| Datadog | 7 | — |
| Axiom | 1 | — |
| Heroku | — | Verified |
| Kubernetes Manager | 8 | — |
| PagerDuty | 8 | — |
| CircleCI | 7 | — |
| Kubernetes MCP | 7 | — |
| Render | 7 | — |
How we rank theseShowHide
Official connectors we host come first, then verifiedentries — ones where we hold the server’s own repository or the vendor’s own docs and have checked the link resolves — then the rest by how many agent-callable tools they expose. A listing on another directory doesn’t count as verification. We don’t publish install counts for third-party servers, because we have no way to measure them, and anything its maintainers have archived says so on the card. A dash in the Tools column means we haven’t listed that server’s tools yet, not that it has none.
Frequently asked questions
What is a DevOps MCP server?
It exposes an infrastructure tool — a Kubernetes cluster, a Docker daemon, a CI provider, a hosting platform — to AI models through the Model Context Protocol, so an agent can read state and run scoped operations instead of you translating between a chat window and a terminal.
Can an agent deploy to production through one of these?
Only if you grant it that. The safe pattern is read access plus a narrow set of write operations, with anything irreversible behind human approval — the server enforces whatever scopes the credential carries, so the credential is where you draw the line.
Do these run locally or as a hosted endpoint?
Both shapes exist. Local stdio servers keep credentials on your machine; hosted endpoints authenticate with OAuth and need no config file. Each listing says which, and we re-probe the hosted ones so the status on the page reflects a real check.
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