semvec/pypi-packages huggingface dataset:
databutton-app-mcp 0.1.18
Call your Databutton app endpoints as LLM tools with MCP
Requires Python: >=3.11
Keywords: app, databutton, llm, mcp, tool

# Databutton App MCP

Use API endpoints from your Databutton app as LLM tools from any MCP compatible client!

This is a simple proxy that runs locally and connects securely to your Databutton app
using the MCP protocol over websockets.

To use it, make sure you have uv installed, see instructions here if not:

    https://docs.astral.sh/uv/getting-started/installation/

First download an API key from the settings page of your Databutton app, and save it to a file.

Then configure your LLM client (e.g. Claude Desktop or Cursor), like this:

```json
{
  "mcpServers": {
    "myDatabuttonApp": {
      "command": "uvx",
      "args": [
        "databutton-app-mcp@latest"
      ],
      "env": {
        "DATABUTTON_API_KEY": "YOUR-DATABUTTON-APP-KEY"
      }
    }
  }
}
```

or this

```json
{
  "mcpServers": {
    "myDatabuttonApp": {
      "command": "uvx",
      "args": [
        "databutton-app-mcp@latest"
        "-k",
        "/path/to/apikey.txt"
      ]
    }
  }
}
```

Here /path/to/apikey.txt is the full path to a file containing the api key,
or DATABUTTON_API_KEY is either the api key value or the path to a file containing it.
You can download the API key for your Databutton app on the app settings page.
Make sure to keep it secure and don't share it.
simple-img 0.0.1
Pacote de processamento de imagens.
Requires Python: >=3.8

# Simple Image Processing Package

O pacote `simple_img` Ã© uma biblioteca Python simples para processamento de imagens com base no pacote skimage. Ele oferece funcionalidades bÃ¡sicas, como redimensionamento, conversÃ£o para tons de cinza e aplicaÃ§Ã£o de filtros.

## Funcionalities

- Redimensionar imagens para um tamanho especÃ­fico.
- Converter imagens para escala de cinza.
- Aplicar filtros bÃ¡sicos como desfoque e nitidez.

## Installation

Use o gerenciador de pacotes [pip](https://pip.pypa.io/en/stable/) para instalar o `simple_img`:

```bash
pip install simple_img

## Usage

from simple_img.processing import resize_image, apply_grayscale

# Redimensionar uma imagem
resize_image("imagem_entrada.jpg", "imagem_saida_redimensionada.jpg", (200, 200))

# Converter uma imagem para tons de cinza
apply_grayscale("imagem_entrada.jpg", "imagem_saida_cinza.jpg")
```

## Author
Filipe L

## License
[MIT](https://choosealicense.com/licenses/mit/)