Af Jupyterlab
БесплатноНе проверенEnables users to create, inspect, list, and delete per-user JupyterLab servers on the UChicago ATLAS Analysis Facility Kubernetes cluster, with GPU availability
Описание
Enables users to create, inspect, list, and delete per-user JupyterLab servers on the UChicago ATLAS Analysis Facility Kubernetes cluster, with GPU availability and supported image listing tools.
README
MCP server that lets AF users create, inspect, and delete their own per-user JupyterLab servers on the UChicago ATLAS Analysis Facility Kubernetes cluster — the same notebooks af-portal deploys today, exposed as tools for LLMs.
Architecture
LLM <--MCP/HTTP--> af-jupyterlab-mcp <--k8s API--> notebook namespace (Pod/Service/Secret/Ingress)
^
| Authorization: Bearer <broker-issued JWT>
|
af-mcp-platform credential broker
Phase 1 (this repo, today) ships six tools that manage the Pod/Service/
Secret/Ingress quadruple for a notebook, ported from af-portal's
portal/jupyterlab.py and its four Jinja templates. Phase 2 (tracked, not yet
built) adds a typed proxy to the Datalayer jupyter-mcp-server running inside
the notebook itself — see
maniaclab/af-mcp-platform#189.
Project layout
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
Tool surface
create_jupyter_serverlist_jupyter_serversget_jupyter_serverdelete_jupyter_serverget_gpu_availabilitylist_supported_images
The owner of every server is always claims.unixname from the verified broker
JWT — no tool takes an owner/username argument.
Build and test commands
pixi run test # quick tests
pixi run lint # pre-commit + pylint
pixi run helm-lint # lint + smoke-render the Helm chart
Установка Af Jupyterlab
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/maniaclab/af-jupyterlab-mcpFAQ
Af Jupyterlab MCP бесплатный?
Да, Af Jupyterlab MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Af Jupyterlab?
Нет, Af Jupyterlab работает без API-ключей и переменных окружения.
Af Jupyterlab — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Af Jupyterlab в Claude Desktop, Claude Code или Cursor?
Открой Af Jupyterlab на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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