af-jupyterlab-mcp
af-jupyterlab-mcp
MCP 服务器,让 AF 用户能够在 UChicago ATLAS Analysis Facility Kubernetes 集群上创建、检查和删除他们自己的每用户 JupyterLab 服务器——与 af-portal 今天部署的笔记本相同,以工具形式暴露给 LLM。
架构
LLM <--MCP/HTTP--> af-jupyterlab-mcp <--k8s API--> notebook namespace (Pod/Service/Secret/Ingress)
^
| Authorization: Bearer <broker-issued JWT>
|
af-mcp-platform credential broker第一阶段(本仓库,当前)提供六个工具,管理笔记本的 Pod/Service/Secret/Ingress 四元组,从 af-portal 的 portal/jupyterlab.py 及其四个 Jinja 模板移植而来。第二阶段(已跟踪,尚未构建)添加一个类型化代理,指向笔记本内部运行的 Datalayer jupyter-mcp-server——参见 maniaclab/af-mcp-platform#189。
Related MCP server: jlab-mcp
项目布局
src/af_jupyterlab_mcp/
├── cli.py # argparse: `af-jupyterlab-mcp serve` (HTTP only)
├── config.py # env-driven Settings: namespace, domain, image allowlist, quotas
├── server.py # FastMCP setup, lifespan (k8s client + broker verifier), tool registration
├── auth/
│ └── broker.py # extract_bearer(), get_broker_claims() -- broker-issued JWT verification
├── k8s/
│ ├── errors.py # GuardrailError, NameConflictError, NotFoundOrNotYoursError, ...
│ ├── guardrails.py # CPU/memory/duration range + image allowlist validation
│ ├── names.py # sanitize_k8s_pod_name, name availability, name generation
│ ├── templates.py # Jinja rendering of the four ported manifests
│ ├── notebooks.py # create/get/list/delete notebook (ported portal logic)
│ ├── gpu.py # get_gpu_availability (ported portal logic)
│ └── templates/ # pod.yaml.j2, service.yaml.j2, secret.yaml.j2, ingress.yaml.j2
│ # (ported verbatim from af-portal/portal/templates/jupyterlab/)
└── tools/
└── jupyterlab.py # the six @mcp.tool() functions工具表面
create_jupyter_serverlist_jupyter_serversget_jupyter_serverdelete_jupyter_serverget_gpu_availabilitylist_supported_images
每个服务器的所有者始终是来自已验证的 broker JWT 的 claims.unixname——没有工具接受所有者/用户名参数。
构建和测试命令
pixi run test # quick tests
pixi run lint # pre-commit + pylint
pixi run helm-lint # lint + smoke-render the Helm chartThis server cannot be installed
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