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maniaclab

af-jupyterlab-mcp

by maniaclab
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Python
Remote

af-jupyterlab-mcp

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.

Related MCP server: jlab-mcp

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_server

  • list_jupyter_servers

  • get_jupyter_server

  • delete_jupyter_server

  • get_gpu_availability

  • list_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

This server cannot be installed

A
license - permissive license
Not graded
quality - not tested
A
maintenance

How are these scores calculated?

Maintenance

–Maintainers
<1hResponse time
0dRelease cycle
6Releases (12mo)
Commit activity

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