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MCP-llms-txt

# Generated by https://smithery.ai. See: https://smithery.ai/docs/config#dockerfile # Use the official Python image with version 3.11 FROM python:3.11-slim # Set working directory WORKDIR /app # Copy the contents of the current directory to /app in the container COPY . . # Install the necessary dependencies RUN pip install --no-cache-dir hatchling && hatch build && pip install . # Set the environment variable to ensure UTF-8 output ENV PYTHONUTF8=1 # Command to run the MCP server ENTRYPOINT ["mcp-llms-txt"]

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/SecretiveShell/MCP-llms-txt'

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