AGENT SKILL

cloud-infra-toolchain

Use when working with the user's cloud-infrastructure MCP stack fronted by the cloud-hub multiplexer - RunPod, Azure, Google Cloud, Kaggle, rclone, Modal, Lightning AI, and OVHcloud behind one lazy MCP slot. Covers which platform does what, adopt-vs-build-vs-vendor status, per-platform auth + the account-switch/cycle multi-account layer (incl. OVH region rotation ca/eu/us), the workflows (train on Kaggle, rent a GPU on RunPod/Modal/Lightning/OVH, deploy to Cloud Run/AKS, move data with rclone), the rclone rcd daemon prereq, the Windows `cmd /c npx` note, GPU cost-awareness + read-before-destroy operating rules, and the per-backend tool inventory. Multi-accounting can breach a platform's ToS - flag it.

License 许可
MIT
最近更新
2026-11-02
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01 前言 Front Matter

name
cloud-infra-toolchain
description
Use when working with the user's cloud-infrastructure MCP stack fronted by the cloud-hub multiplexer - RunPod, Azure, Google Cloud, Kaggle, rclone, Modal, Lightning AI, and OVHcloud behind one lazy MCP slot. Covers which platform does what, adopt-vs-build-vs-vendor status, per-platform auth + the account-switch/cycle multi-account layer (incl. OVH region rotation ca/eu/us), the workflows (train on Kaggle, rent a GPU on RunPod/Modal/Lightning/OVH, deploy to Cloud Run/AKS, move data with rclone), the rclone rcd daemon prereq, the Windows `cmd /c npx` note, GPU cost-awareness + read-before-destroy operating rules, and the per-backend tool inventory. Multi-accounting can breach a platform's ToS - flag it.

03 SKILL.md 正文

Cloud Infrastructure MCP Toolchain

Overview

The user's cloud-infra MCP servers are fronted by cloud-hub — one lazy, name-preserving multiplexer (tools/mcp/cloud-hub/) that answers tools/list from committed caches without spawning and lazily spawns only the owning backend on a tools/call. Ten platforms, 324 backend tools + 54 account tools = 378, behind a single MCP registration. Five servers are adopted (existing MCP packages), four are built thin FastMCP wrappers, and one (OVHcloud) is a vendored TS server built from source.

Platform pkg / runtime Auth Adopt/Build Tools Hard limits
RunPod npx @runpod/mcp-server@latest (Node) RUNPOD_API_KEY adopt 50 GPU billed per-second; pods/endpoints cost money while running
Azure npx @azure/mcp@latest server start (.NET) az login adopt 14* *hand-authored cache (the .NET server didn't enumerate under piped stdio); --refresh azure upgrades it
Google Cloud npx @google-cloud/gcloud-mcp (Node) gcloud ADC + GOOGLE_CLOUD_PROJECT adopt 1 single run_gcloud_command passthrough — full gcloud surface, full gcloud risk
Kaggle uvx kaggle-mcp-server (Python) KAGGLE_USERNAME+KAGGLE_KEY / ~/.kaggle/kaggle.json adopt 51 free-tier GPU/TPU quota (~30h/wk); kernels are public unless set private
rclone npx rclone-mcp over rclone rcd RC daemon :5572 adopt 56 needs the rcd daemon (auto-started); sync/move/delete are destructive

Multi-account + cycling (cswap-style)

Auth-setup runbook

Workflows

Train on Kaggle (free GPU/TPU)

Rent a GPU (options — pick by workload)

Deploy an app

Move data (rclone)

rclone rcd daemon prereq

Windows launch note

Operating rules

Per-backend tool inventory

Databricks as a Codex agent host (not just Spark)

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