by kubeflow · MCP Server · ★ 47
Kubeflow MCP Server Proposal: KEP-936 · ROADMAP · SECURITY · CONTRIBUTING Overview The Kubeflow MCP Server exposes Kubeflow Training operations as Model Context Protocol tools, enabling AI agents (Claude, Cursor, Claude Code, or any custom agents etc.) to plan, submit, monitor, and manage training jobs through natural language — without users needing to learn Kubernetes or the Kubeflow SDK directly.
| Stars | 47 |
| Forks | 63 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.5986728828931/100 |
| Open Issues | 50 |
| Last Updated | 2026-10-06 |
| Created | 2026-04-08 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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mcp-server is MCP Server for AI-Assisted Development with Kubeflow Tools. It is categorized as a MCP Server with 47 GitHub stars.
mcp-server is primarily written in Python.
You can find installation instructions and usage details in the mcp-server GitHub repository at github.com/kubeflow/mcp-server. The project has 47 stars and 63 forks, indicating an active community.
mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.