Publish to PyPI workflow (rohitg00/kubectl-mcp-server)
The Publish to PyPI workflow from rohitg00/kubectl-mcp-server, explained and optimized by Latchkey.
CI health: C - fair
Point runs-on at Latchkey and get caching, job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Publish to PyPI workflow from the rohitg00/kubectl-mcp-server repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: Publish to PyPI
on:
release:
types: [published]
workflow_dispatch:
jobs:
deploy-primary:
name: Publish kubectl-mcp-server (primary)
runs-on: ubuntu-latest
environment: pypi
permissions:
id-token: write
contents: write
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.ref }}
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install build
- name: Get version from setup.py
id: version
run: |
VERSION=$(python setup.py --version)
echo "version=$VERSION" >> $GITHUB_OUTPUT
- name: Check if version exists on PyPI
id: check
run: |
VERSION=$(python setup.py --version)
if pip index versions kubectl-mcp-server 2>/dev/null | grep -q "$VERSION"; then
echo "exists=true" >> $GITHUB_OUTPUT
echo "Version $VERSION already exists on PyPI, skipping publish"
else
echo "exists=false" >> $GITHUB_OUTPUT
echo "Version $VERSION not found, will publish"
fi
- name: Build package
run: python -m build
- name: Publish to PyPI
if: steps.check.outputs.exists != 'true'
uses: pypa/gh-action-pypi-publish@release/v1
- name: Upload wheel to GitHub Release
if: github.event_name == 'release'
uses: softprops/action-gh-release@v2
with:
files: |
dist/*.whl
dist/*.tar.gz
deploy-legacy:
name: Publish kubectl-mcp-tool (legacy alias)
needs: deploy-primary
runs-on: ubuntu-latest
environment: pypi
permissions:
id-token: write
contents: write
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.ref }}
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install build
- name: Get version from setup_legacy.py
id: version
run: |
VERSION=$(python setup_legacy.py --version)
echo "version=$VERSION" >> $GITHUB_OUTPUT
- name: Check if version exists on PyPI
id: check
run: |
VERSION=$(python setup_legacy.py --version)
if pip index versions kubectl-mcp-tool 2>/dev/null | grep -q "$VERSION"; then
echo "exists=true" >> $GITHUB_OUTPUT
echo "Version $VERSION already exists on PyPI, skipping publish"
else
echo "exists=false" >> $GITHUB_OUTPUT
echo "Version $VERSION not found, will publish"
fi
- name: Build legacy package
if: steps.check.outputs.exists != 'true'
run: |
mv setup.py setup_primary.py
mv setup_legacy.py setup.py
python -m build -o dist_legacy/
mv setup.py setup_legacy.py
mv setup_primary.py setup.py
- name: Publish legacy package to PyPI
if: steps.check.outputs.exists != 'true'
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: dist_legacy/
The same workflow, on Latchkey
Estimated ~20% faster on cache hits, plus fewer wasted runs and a safer supply chain. Added and changed lines are highlighted.
name: Publish to PyPI on: release: types: [published] workflow_dispatch: jobs: deploy-primary: timeout-minutes: 30 name: Publish kubectl-mcp-server (primary) runs-on: latchkey-small environment: pypi permissions: id-token: write contents: write steps: - uses: actions/checkout@v4 with: ref: ${{ github.ref }} - name: Set up Python uses: actions/setup-python@v5 with: cache: 'pip' python-version: '3.11' - name: Install dependencies run: | python -m pip install --upgrade pip pip install build - name: Get version from setup.py id: version run: | VERSION=$(python setup.py --version) echo "version=$VERSION" >> $GITHUB_OUTPUT - name: Check if version exists on PyPI id: check run: | VERSION=$(python setup.py --version) if pip index versions kubectl-mcp-server 2>/dev/null | grep -q "$VERSION"; then echo "exists=true" >> $GITHUB_OUTPUT echo "Version $VERSION already exists on PyPI, skipping publish" else echo "exists=false" >> $GITHUB_OUTPUT echo "Version $VERSION not found, will publish" fi - name: Build package run: python -m build - name: Publish to PyPI if: steps.check.outputs.exists != 'true' uses: pypa/gh-action-pypi-publish@release/v1 - name: Upload wheel to GitHub Release if: github.event_name == 'release' uses: softprops/action-gh-release@v2 with: files: | dist/*.whl dist/*.tar.gz deploy-legacy: timeout-minutes: 30 name: Publish kubectl-mcp-tool (legacy alias) needs: deploy-primary runs-on: latchkey-small environment: pypi permissions: id-token: write contents: write steps: - uses: actions/checkout@v4 with: ref: ${{ github.ref }} - name: Set up Python uses: actions/setup-python@v5 with: cache: 'pip' python-version: '3.11' - name: Install dependencies run: | python -m pip install --upgrade pip pip install build - name: Get version from setup_legacy.py id: version run: | VERSION=$(python setup_legacy.py --version) echo "version=$VERSION" >> $GITHUB_OUTPUT - name: Check if version exists on PyPI id: check run: | VERSION=$(python setup_legacy.py --version) if pip index versions kubectl-mcp-tool 2>/dev/null | grep -q "$VERSION"; then echo "exists=true" >> $GITHUB_OUTPUT echo "Version $VERSION already exists on PyPI, skipping publish" else echo "exists=false" >> $GITHUB_OUTPUT echo "Version $VERSION not found, will publish" fi - name: Build legacy package if: steps.check.outputs.exists != 'true' run: | mv setup.py setup_primary.py mv setup_legacy.py setup.py python -m build -o dist_legacy/ mv setup.py setup_legacy.py mv setup_primary.py setup.py - name: Publish legacy package to PyPI if: steps.check.outputs.exists != 'true' uses: pypa/gh-action-pypi-publish@release/v1 with: packages-dir: dist_legacy/
What changed
- Run on Latchkey managed runners with one line (
runs-on), which apply the fixes below automatically and self-heal transient failures. This example useslatchkey-small; pick the runner size that fits the job. - Cache dependency installs on the setup step so they are served from cache.
- Add a job timeout so a hung step cannot burn hours of runner time.
2 third-party actions are referenced by a movable tag. Pin them to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.
What Latchkey heals here
This workflow has steps that commonly fail on transient issues (network, registries, flaky browsers). On Latchkey managed runners they are detected, retried, and self-healed instead of failing your build:
- Dependency installs
This workflow runs 2 jobs per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.