forked from HomeLab/unraid-mcp
Update docker-compose.yml
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cline_docs/activeContext.md
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cline_docs/activeContext.md
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# Active Context
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## What you're working on now
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Containerizing the Python MCP server located in the `/mnt/cache/compose/unraid-mcp` directory. The main script is `unraid-mcp-server.py`.
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## Recent changes
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- Confirmed project path accessible to tools is `/mnt/cache/compose/unraid-mcp/`.
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- Created the `cline_docs` directory at the correct path.
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## Next steps
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1. Create `Dockerfile` for the Python MCP server.
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2. Create `.dockerignore` file to optimize the Docker build context.
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3. Inspect `unraid-mcp-server.py` to determine the run command and any exposed ports.
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4. Inspect `requirements.txt` for dependencies.
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5. Update `README.md` with instructions for building and running the Docker container.
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cline_docs/productContext.md
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cline_docs/productContext.md
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# Product Context
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## Why this project exists
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To package the Python MCP server (`unraid-mcp-server.py`) into a portable, isolated, and reproducible Docker container.
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## What problems it solves
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- Simplifies deployment of the MCP server across different environments.
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- Ensures a consistent runtime environment for the server.
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- Facilitates easier management and scaling if needed.
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## How it should work
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A Docker image should be buildable from the provided `Dockerfile`. Running a container from this image should successfully start the `unraid-mcp-server.py` application, making its services available as configured.
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cline_docs/progress.md
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cline_docs/progress.md
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# Progress
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## What works
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- The Python MCP server (`unraid-mcp-server.py`) is assumed to be functional in a local Python environment with dependencies installed from `requirements.txt`.
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- `cline_docs` directory has been created at `/mnt/cache/compose/unraid-mcp/cline_docs/`.
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- `productContext.md`, `activeContext.md`, `systemPatterns.md`, `techContext.md`, and `progress.md` have been written to `cline_docs`.
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## What's left to build
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- `Dockerfile`
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- `.dockerignore`
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- Updated `README.md` with Docker build and run instructions.
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## Progress status
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- **Initiated**: Task of containerizing the Python MCP server has begun.
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- **Documentation Created**: `cline_docs` files have been successfully written.
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- **Pending**: Creation of Docker-related files and documentation updates.
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cline_docs/systemPatterns.md
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cline_docs/systemPatterns.md
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# System Patterns
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## How the system is built
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- The core application is a Python script: `unraid-mcp-server.py`.
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- Python dependencies are managed via `requirements.txt`.
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- The application will be containerized using Docker.
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## Key technical decisions
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- Utilize an official Python base image for the Docker container to ensure a stable and secure foundation.
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- Python dependencies will be installed within the Docker image using `pip` and the `requirements.txt` file.
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- Environment variables will be the primary method for configuring the application within the Docker container. The `.env.example` and `.env.local` files provide templates for these variables, but will not be copied directly into the image for security and flexibility.
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## Architecture patterns
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- Standard Docker containerization pattern for a Python application.
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- The application is expected to be a network service, exposing one or more ports.
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cline_docs/techContext.md
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cline_docs/techContext.md
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# Tech Context
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## Technologies used
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- Python (for the MCP server application)
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- Docker (for containerization)
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- `pip` (for Python package management)
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## Development setup
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- Current: Local Python development environment.
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- Target: Dockerized application runnable in any Docker-compatible environment.
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## Technical constraints
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- The Docker container must successfully run the `unraid-mcp-server.py` script.
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- All dependencies listed in `requirements.txt` must be installed in the Docker image.
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- The container should be configurable via environment variables (e.g., for API keys, server address/port if applicable).
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- The necessary network ports used by the MCP server must be exposed by the Docker container.
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