Semantic Scholar MCP Server

# Start from a base Python image FROM python:3.8-slim # Set the working directory WORKDIR /app # Copy the requirements file first to leverage Docker cache COPY requirements.txt /app/requirements.txt RUN pip install --no-cache-dir -r requirements.txt # Copy the rest of the application code # This includes the 'semantic_scholar' package and 'run.py' COPY . /app # Alternatively, be more specific: # COPY semantic_scholar /app/semantic_scholar # COPY run.py /app/run.py # Expose the port that the MCP server will run on EXPOSE 8000 # Set the environment variable for the API key (placeholder) # Glama or the user should provide the actual key at runtime ENV SEMANTIC_SCHOLAR_API_KEY="" # Command to run the server using the refactored entry point CMD ["python", "run.py"]