Skip to main content
Glama

Gatherings MCP Server

by abutbul
name: Test and Build Python MCP Server on: push: branches: - main pull_request: jobs: test-and-build: runs-on: ubuntu-latest steps: # Checkout the repository - name: Checkout code uses: actions/checkout@v4 # Set up Python environment - name: Set up Python uses: actions/setup-python@v5 with: python-version: '3.10' # Updated from 3.9 to 3.10 to meet MCP requirements # Install Python dependencies using uv - name: Install Python dependencies run: | python -m pip install --upgrade pip uv uv pip install --system -r requirements.txt # Run Python tests - name: Run Python tests run: | python test_example.py > test_results.log 2>&1 continue-on-error: false # Upload test logs as artifacts - name: Upload test logs if: always() uses: actions/upload-artifact@v4 with: name: test-logs path: test_results.log retention-days: 7 # Build Docker image - name: Build Docker image run: | # Use the same image name as in docker-test.sh for consistency, though the script rebuilds it. docker build -t gatherings-mcp-test . # Test Docker image using the script and generate artifacts - name: Test Docker image and Generate Artifacts run: | # Export information about the built image docker inspect gatherings-mcp-test > docker-image-info.json # Make the test script executable and run it chmod +x ./docker-test.sh ./docker-test.sh # Create result log only if the script succeeds echo "Docker build and test successful" > docker-build-result.log # Upload build artifacts - name: Upload build artifacts if: always() # Upload artifacts regardless of success or failure uses: actions/upload-artifact@v4 with: name: build-artifacts path: | docker-image-info.json docker-build-result.log retention-days: 5

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/abutbul/gatherings-mcp-python'

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