# Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile
# Use official Python 3.13 slim image
FROM python:3.13-slim
# Set working directory
WORKDIR /app
# Copy project metadata and source
COPY pyproject.toml uv.lock whale-tracker.py ./
# Install dependencies
RUN pip install --no-cache-dir . python-dotenv
# Expose no ports since MCP runs over stdio
# Default entrypoint to run the MCP server
ENTRYPOINT ["python", "whale-tracker.py"]
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/kukapay/whale-tracker-mcp'
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