LinkedIn Intelligence MCP Server

# LinkedIn MCP Server with Playwright Support FROM mcr.microsoft.com/playwright/python:v1.49.0-jammy # Set working directory WORKDIR /app # Install uv RUN curl -LsSf https://astral.sh/uv/install.sh | sh ENV PATH="/root/.local/bin:$PATH" # Copy project files COPY pyproject.toml uv.lock ./ COPY src/ src/ # Install dependencies including browser extras RUN uv sync --frozen --no-dev # Install Playwright browsers RUN uv run playwright install chromium # Create data directories RUN mkdir -p /app/data /app/browser-state # Set environment variables ENV PYTHONUNBUFFERED=1 ENV LOG_LEVEL=INFO ENV LOG_FORMAT=json ENV ENABLE_BROWSER_FALLBACK=true # Expose port for HTTP transport (if used) EXPOSE 8000 # Run the server CMD ["uv", "run", "linkedin-mcp"]