{{ template "chart.header" . }}
{{ template "chart.description" . }}
{{ template "chart.versionBadge" . }}{{ template "chart.typeBadge" . }}{{ template "chart.appVersionBadge" . }}
## Documentation
For full Karpenter documentation please checkout [https://karpenter.sh](https://karpenter.sh/docs/).
## Installing the Chart
You can follow the detailed installation instruction in the [documentation](https://karpenter.sh/docs/getting-started/getting-started-with-karpenter) which covers the Karpenter prerequisites and installation options. The outcome of these instructions should result in something like the following command.
```bash
helm upgrade --install --namespace karpenter --create-namespace \
karpenter oci://public.ecr.aws/karpenter/{{ template "chart.name" . }} \
--version {{ template "chart.version" . }} \
--set "serviceAccount.annotations.eks\.amazonaws\.com/role-arn=${KARPENTER_IAM_ROLE_ARN}" \
--set settings.clusterName=${CLUSTER_NAME} \
--set settings.interruptionQueue=${CLUSTER_NAME} \
--wait
```
### Verification
As the OCI Helm chart is signed by [Cosign](https://github.com/sigstore/cosign) as part of the release process you can verify the chart before installing it by running the following command.
```shell
cosign verify public.ecr.aws/karpenter/karpenter:{{ template "chart.version" . }} \
--certificate-oidc-issuer=https://token.actions.githubusercontent.com \
--certificate-identity-regexp='https://github\.com/aws/karpenter-provider-aws/\.github/workflows/release\.yaml@.+' \
--certificate-github-workflow-repository=aws/karpenter-provider-aws \
--certificate-github-workflow-name=Release \
--certificate-github-workflow-ref=refs/tags/v{{ template "chart.version" . }} \
--annotations version={{ template "chart.version" . }}
```
{{ template "chart.requirementsSection" . }}
{{ template "chart.valuesSection" . }}
----------------------------------------------
Autogenerated from chart metadata using [helm-docs](https://github.com/norwoodj/helm-docs/).
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/mengfwan/test-mcp-glama'
If you have feedback or need assistance with the MCP directory API, please join our Discord server