Skip to main content
Glama

MCP Google Workspace Server

release.yml1.13 kB
name: Release on: release: types: [created] jobs: deploy: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v4 with: python-version: "3.11" - name: Cache uv installation uses: actions/cache@v3 with: path: ~/.cargo/bin/uv key: ${{ runner.os }}-uv - name: Install uv if: steps.cache-uv.outputs.cache-hit != 'true' run: | curl -LsSf https://astral.sh/uv/install.sh | sh uv --version - name: Cache dependencies uses: actions/cache@v3 with: path: .venv key: ${{ runner.os }}-venv-${{ hashFiles('pyproject.toml') }} - name: Install dependencies run: | uv venv . .venv/bin/activate uv pip install build twine - name: Build package run: | . .venv/bin/activate python -m build - name: Publish to PyPI env: TWINE_USERNAME: __token__ TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} run: | . .venv/bin/activate twine upload dist/*

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/josedu90/mcp-suiteg'

If you have feedback or need assistance with the MCP directory API, please join our Discord server