MCP Server
Query Your Cluster. Fix Issues. Never Leave Your IDE.
Connect ScaleOps to any MCP-compatible client, including Claude, Claude Code, Cursor, and more. Query live cluster state, diagnose issues, and trigger changes, without switching tabs.
Capabilities
From Live Cluster Data to Action, Across Your AI Workflows
Query cluster state and act on it
Get live pod, node, and workload data in plain language, then trigger ScaleOps actions directly from the same conversation. No dashboard tab required.
Find optimization opportunities and execute them
Surface rightsizing candidates and over-provisioned workloads with specific numbers. Approve ScaleOps recommendations on the spot, directly from your AI workflow.
Get full visibility into ScaleOps optimization
See exactly what ScaleOps is managing, which policies are active, and what recommendations are pending. Review and apply pending actions without opening the ScaleOps UI.
Setup
Connect in Minutes
Add the MCP Server
Drop the ScaleOps MCP configuration into your client’s settings. Compatible with any MCP-standard tool.
Ask in Natural Language
Ask things like: ‘Which pods are OOMKilling?’ or ‘What workloads are over-provisioned?’, and get answers grounded in live cluster data.
Act on Live Data
Approve a rightsizing recommendation, update a policy, or resolve an eviction, all from the same conversation, with no context switch.
Compatibility
Built on the open MCP standard
Here’s What People Are Saying About Us
“I appreciate how easy it was to install ScaleOps and how it instantly reduced the cognitive load on our application teams, making it much simpler for them to deploy their workloads effectively. The troubleshooting features are excellent and have proven invaluable when assisting assisting our app teams.”
“ScaleOps’ automation optimizes our production apps in real time, cutting cloud costs and eliminating repetitive manual work so our teams can focus on core projects. The quick setup delivered immediate value.”
“ScaleOps automatically optimizes Wiz’s containers in production according to our real-time needs, improving performance even during demand spikes. While dramatically reducing our K8s costs, the hands-free automation freed our teams from dealing with ongoing configurations, which is critical in our rapidly ever-growing environment”
“ScaleOps drove major cloud cost savings for us. The platform is reliable, easy to deploy, and the support team is exceptional.”
“ScaleOps eliminates the manual effort of constantly tuning resource requests and limits in our Kubernetes clusters. It automatically adjusts workloads to the right size, helping us reduce over-provisioning and keep our cloud costs low.”
“Manually tuning CPU and memory requests or limits across workloads was eating up our engineers’ time. With ScaleOps automating resource optimization at the pod level, we’ve eliminated constant config changes and cut cloud costs significantly.”
“We came in looking to save costs, but not at the expense of performance. With ScaleOps’ automated resource optimization, we got both, and saw dramatically high cost savings without compromising on reliability.”
“I appreciate how easy it was to install ScaleOps and how it instantly reduced the cognitive load on our application teams, making it much simpler for them to deploy their workloads effectively. The troubleshooting features are excellent and have proven invaluable when assisting assisting our app teams.”
“ScaleOps’ automation optimizes our production apps in real time, cutting cloud costs and eliminating repetitive manual work so our teams can focus on core projects. The quick setup delivered immediate value.”
“ScaleOps automatically optimizes Wiz’s containers in production according to our real-time needs, improving performance even during demand spikes. While dramatically reducing our K8s costs, the hands-free automation freed our teams from dealing with ongoing configurations, which is critical in our rapidly ever-growing environment”
“ScaleOps drove major cloud cost savings for us. The platform is reliable, easy to deploy, and the support team is exceptional.”
“ScaleOps eliminates the manual effort of constantly tuning resource requests and limits in our Kubernetes clusters. It automatically adjusts workloads to the right size, helping us reduce over-provisioning and keep our cloud costs low.”
“Manually tuning CPU and memory requests or limits across workloads was eating up our engineers’ time. With ScaleOps automating resource optimization at the pod level, we’ve eliminated constant config changes and cut cloud costs significantly.”
“We came in looking to save costs, but not at the expense of performance. With ScaleOps’ automated resource optimization, we got both, and saw dramatically high cost savings without compromising on reliability.”
“ScaleOps automatically manages our resources and continuously optimizes our production workloads in response to demand. This platform has resulted in significant savings, all through a hands-free experience.”
“ScaleOps automation has improved reliability, helping us maintain consistent application performance even during periods of high demand.”
“Before ScaleOps, managing workload scaling required constant tweaking and monitoring. Now, it’s completely automated. We spend less time managing infrastructure and more time building products. It’s made our Kubernetes environment far more efficient and predictable.”
“Great optimization tool for EKS, awesome team to work with, and easy deployment.”
“ScaleOps helps reduce cloud costs significantly without affecting performance”
“Very easy to get started and implement. Great customer support, we have a dedicated Slack channel where we get responses very quickly. ScaleOps keeps adding more and more useful features.”
“ScaleOps allows us to dramatically reduce costs and keep our cloud bill in check.”
“ScaleOps automatically manages our resources and continuously optimizes our production workloads in response to demand. This platform has resulted in significant savings, all through a hands-free experience.”
“ScaleOps automation has improved reliability, helping us maintain consistent application performance even during periods of high demand.”
“Before ScaleOps, managing workload scaling required constant tweaking and monitoring. Now, it’s completely automated. We spend less time managing infrastructure and more time building products. It’s made our Kubernetes environment far more efficient and predictable.”
“Great optimization tool for EKS, awesome team to work with, and easy deployment.”
“ScaleOps helps reduce cloud costs significantly without affecting performance”
“Very easy to get started and implement. Great customer support, we have a dedicated Slack channel where we get responses very quickly. ScaleOps keeps adding more and more useful features.”
“ScaleOps allows us to dramatically reduce costs and keep our cloud bill in check.”
Instant Value with Seamless Automation