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MCP-LOGO-GEN

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최종 버전 다운로드 (.zip)

- - logo-creation.mdc
- __init__.py
- settings.py
- db-icon-1.png
- db-icon-1_128x128.png
- db-icon-1_32x32.png
- fighter_jet.glb
- skKKrkhF_XplQxNPUPrFX_f09176a2fab045d0945f724a3833b470.png
- y8c1zcRFBHv00oJ3mnonf_8293637079c74a8a8570c655a55904c9.png
- y8c1zcRFBHv00oJ3mnonf_8293637079c74a8a8570c655a55904c9_128x128.png
- y8c1zcRFBHv00oJ3mnonf_8293637079c74a8a8570c655a55904c9_32x32.png
- zEChDDxjUQrMQebsjJxEk_3e241e40750a4293bc1230f064b691be.png
- zEChDDxjUQrMQebsjJxEk_3e241e40750a4293bc1230f064b691be_128x128.png
- zEChDDxjUQrMQebsjJxEk_3e241e40750a4293bc1230f064b691be_32x32.png
- scale_image.py
- __init__.py
- background_removal.py
- image_download.py
- image_gen.py
- image_scaling.py
.gitignore
.python-version
Dockerfile
LICENSE
pyproject.toml
README.md
requirements.txt
run_server.py
server.py
uv.lock

// repository documentation

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# MCP Tool Server for Logo Generation

This server provides logo generation capabilities using FAL AI, with tools for image generation, background removal, and automatic scaling.

## Demo

[![MCP Tool Server Demo](https://img.youtube.com/vi/Miemu1xEZng/0.jpg)](https://www.youtube.com/watch?v=Miemu1xEZng)

## Installation

1. Install `uv` (Universal Virtualenv):

```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```

2. Create and activate a virtual environment:

```bash
uv venv
source .venv/bin/activate  # On Unix/macOS
# or
.venv\Scripts\activate     # On Windows
```

3. Install dependencies:

```bash
uv pip install -r requirements.txt
```

4. Set up your environment variables:
   - Create a `.env` file in the root directory
   - Add your FAL AI API key:

```bash
FAL_KEY=your_fal_ai_key_here
```

## Running the Server

Start the server with:

```bash
python run_server.py
```

The server will be available at `http://127.0.0.1:7777`

### Troubleshooting

If you encounter a `FileNotFoundError` on Windows when running the server, make sure you're running the command from the root directory of the project. If the issue persists, try updating to the latest version of the repository which includes fixes for Windows compatibility.

For Windows users specifically:

1. Make sure you've activated your virtual environment with `.venv\Scripts\activate`
2. Run the server from the root directory of the project with `python run_server.py`
3. If you see any path-related errors, please report them in the issues section of the repository

## Cursor IDE Configuration

1. Open Cursor Settings
2. Navigate to the MCP section
3. Add the following configuration:
   - URL: `http://127.0.0.1:7777/sse`
   - Connection Type: `SSE`
   - Enable the connection

## Notes

- Always reference `@logo-creation.mdc` in your Cursor Composer for consistent results
- Steps are defined in `@logo-creation.mdc` but tools can be used independently
- All generated logos will be saved in the `downloads` directory
- Each logo is automatically generated in three sizes:
  - Original size
  - 32x32 pixels
  - 128x128 pixels
- All logos maintain transparency in their final PNG format
- Prompts created by agent are informed by examples and prompt structure seen in server.py. You can customize the prompt structure by editing the server.py file.
- You can use the generate_image tool to generate any image you want, not just logos

## Requirements

- Python 3.8+
- FAL AI API key (required for image generation)
- Active internet connection

## References

- [Cursor MCP Documentation](https://docs.cursor.com/context/model-context-protocol)
- [Model Context Protocol Introduction](https://modelcontextprotocol.io/introduction)
- [FAL AI Dashboard](https://fal.ai/dashboard)

---

If you find this tool helpful, you can [buy me a coffee](https://buymeacoffee.com/sshtunnelvision) ☕️ to support development!