Kubeflow MCP Server 0.1.0 Release

[abhijeet-dhumal]

Description

Tracking issue for Kubeflow MCP Server v0.1.0 — first Alpha release.

Milestone: https://github.com/kubeflow/mcp-server/milestone/1

Included on main

• chore: initialize kubeflow-mcp repository skeleton #1
• feat: add core MCP server, TrainerClient tools and Resources #2
• chore: add CI and community hygiene #3
• chore: add Kubeflow MCP server roadmap #13
• feat: add OpenTelemetry tracing for tool calls #21
• feat: add Dockerfile and container image CI #25
• fix(trainer): execute top-level train calls and strictly validate func_args #31
• fix(trainer): workaround torchtune top-level HF dataset paths #45
• chore(ci): bump GitHub Actions to latest major versions #49
• feat(ci): replace pip-audit with OSV-Scanner for CVE detection #30
• feat(ci): add MCP protocol conformance tests #81
• fix(core): add HTTP health probes #88
• fix(core): mask bare token fields in audit logs #93
• DNS rebinding middleware rejects kubelet health probes with 421 #91
• chore(ci): add git-cliff changelog generation and release #118
• feat: create initial release workflow for automated pypi publishing #28
• chore(docs): add SECURITY.md and expand security model in ARCHITECTURE.md #14
• fix(trainer): inject HF_HOME on fine_tune pods to fix OpenShift PermissionError #83
• fix(trainer): fallback to previous pod logs on crash and detect OpenS… #47

Follow-up (0.1.1+)

• SparkClient module for Kubeflow MCP Server #5
• feat: local AI agent with pluggable provider architecture and token-efficient tool discovery #15
• Katib (HPO) Client Support for kubeflow-mcp-server #34
• docs: Add Kubeflow MCP Server to Subprojects page #54
• ci: Add e2e tests against live Kubernetes cluster #63

Release checklist

• Milestone v0.1 + Prow auto-apply
• OSV-Scanner nightly
• MCP conformance CI
• HTTP /health / /ready
• Security team membership (internal-acls#939)
• GitHub envs + PyPI trusted publishers
• 0.1.0rc1 via chore(ci): prepare 0.1.0rc1 and MCP Registry metadata #119
• RC validated on Test PyPI / PyPI
• 0.1.0 version bump + CHANGELOG
• GitHub Release + announce
• Blog Post

cc @andreyvelich @kubeflow/kubeflow-sdk-team @kubeflow/wg-ml-experience-chairs @jaiakash @Krishna-kg732

[abhijeet-dhumal]

@andreyvelich @thesuperzapper Are we ready to add milestone v0.1.0 in this repository ?

[abhijeet-dhumal]

/area release

[abhijeet-dhumal]

Pending candidates for the first release (0.1.0):

• feat: create initial release workflow for automated pypi publishing #28
• chore(docs): add SECURITY.md and expand security model in ARCHITECTURE.md #14
• chore(test): add unit test scaffold with testcase harness #6
  review help appreciated.

[abhijeet-dhumal]

/milestone v0.1

[google-oss-prow]

@abhijeet-dhumal: You must be a member of the kubeflow/kubeflow-sdk-team GitHub team to set the milestone. If you believe you should be able to issue the /milestone command, please contact your Kubeflow SDK Team and have them propose you as an additional delegate for this responsibility.

Details

In response to this:

/milestone v0.1

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.

[abhijeet-dhumal]

/milestone v0.1

[jaiakash]

Hi @abhijeet-dhumal since we have released v0.1.1. Can we close this now?

[abhijeet-dhumal]

Hi @abhijeet-dhumal since we have released v0.1.1. Can we close this now?

Yup, Thanks @jaiakash for pointing this out 🙌
/close

[google-oss-prow]

@abhijeet-dhumal: Closing this issue.

Details

In response to this:

Hi @abhijeet-dhumal since we have released v0.1.1. Can we close this now?

Yup, Thanks @jaiakash for pointing this out 🙌
/close

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.