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Klustercost
What it is
Klustercost provides Kubernetes cost visibility at the workload level by monitoring pods and pricing nodes. Its Go-based observers use Kubernetes informers and Prometheus to track pods, nodes, and namespaces in real time. Pod and node data is stored in PostgreSQL every 10 minutes, while nodes are enriched with hourly VM costs from Azure retail pricing APIs. Users can ask questions in plain English and receive natural-language answers and structured JSON; the site describes these AI queries as read-only. Access options include WhatsApp, Teams, Slack, Power BI, HTTP API, and MCP protocol. A Helm chart deploys the monitor, pricing service, database, and optional AI layer. Klustercost is open source under GPL-3.0 and has a free plan. Azure cost enrichment is supported; AWS and GCP support are planned. Installation requires a running Kubernetes cluster, Helm 3.x, reachable Prometheus, Metrics Server, and a StorageClass. Natural-language queries through the MCP assistant require an OpenAI API key.
For and against
For
- Tracks pods, nodes, and namespaces in real time.
- Stores pod and node data every 10 minutes.
- Includes hourly Azure VM pricing data.
- Queries are described as read-only.
- Open source under GPL-3.0.
Against
- Azure cost enrichment is supported; AWS and GCP are planned.
- Installation requires several cluster components.
- MCP assistant queries require an OpenAI API key.
The verdict
Klustercost combines workload-level monitoring with Azure pricing data and several query channels. Its free, open-source offering requires an established Kubernetes and monitoring setup.
Who it suits
Klustercost suits teams that want Kubernetes cost visibility by workload and already have the listed installation prerequisites. It may also suit teams seeking query access through chat, BI, API, or MCP options.
Plans and prices
Open source
Open source under GPL-3.0 License
Read 4 Oct 2026 · klustercost.cloud
On the record
- Cluster compatibility
- The repository says Azure cost enrichment is supported, while AWS and GCP support are planned.github.com · read 4 Oct 2026
- Data storage
- Pod and node data is persisted in PostgreSQL every 10 minutes.klustercost.cloud · read 4 Oct 2026
- Deployment
- A Helm chart deploys the monitor, pricing service, database, and optional AI layer.klustercost.cloud · read 4 Oct 2026
- Integrations
- The site lists WhatsApp, Teams, Slack, Power BI, HTTP API, and MCP protocol access.klustercost.cloud · read 4 Oct 2026
- License
- The project is open source under the GPL-3.0 License.klustercost.cloud · read 4 Oct 2026
- Monitoring
- Go-based observers use Kubernetes informers and Prometheus to track pods, nodes, and namespaces in real time.klustercost.cloud · read 4 Oct 2026
- Optional AI requirement
- The repository says natural-language queries through the MCP assistant require an OpenAI API key.github.com · read 4 Oct 2026
- Prerequisites
- The repository lists a running Kubernetes cluster, Helm 3.x, reachable Prometheus, Metrics Server, and a StorageClass among installation prerequisites.github.com · read 4 Oct 2026
- Pricing data
- Nodes are enriched with hourly VM costs from Azure retail pricing APIs.klustercost.cloud · read 4 Oct 2026
- Purpose
- Klustercost provides Kubernetes cost visibility by application, monitoring pods and pricing nodes.klustercost.cloud · read 4 Oct 2026
- Queries
- AI translates plain-English questions into natural-language answers and structured JSON.klustercost.cloud · read 4 Oct 2026
- Query safety
- The site describes AI queries as read-only.klustercost.cloud · read 4 Oct 2026
