semvec/pypi-packages huggingface dataset:
itple 0.0.3
A Python module to generate Arduino code for Itple contents.
Requires Python: >=3.8

# itple

> 잇플레이를 비롯한 잇플의 여러 콘텐츠에 사용할 수 있는 모듈입니다.

## 🚀 설치하기

pip를 통해 간단하게 설치할 수 있습니다.

```bash
pip install itple
iflow-mcp_n8n-assistant 0.1.0
n8n Assistant MCP server for searching n8n documentation, workflows, and community forums
Requires Python: >=3.8

# n8n Assistant
[![smithery badge](https://smithery.ai/badge/@onurpolat05/n8n-assistant)](https://smithery.ai/server/@onurpolat05/n8n-assistant)

This project contains a Multi-Channel Platform (MCP) server used to create an assistant integrated with n8n. The assistant can be used to search for n8n documentation, example workflows, and community forums.

<a href="https://glama.ai/mcp/servers/@onurpolat05/n8n-Assistant">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/@onurpolat05/n8n-Assistant/badge" alt="n8n-asistans MCP server" />
</a>

## Features

- **Web Search**: Searches n8n documentation, workflows, and community forums based on a specific query.
- **HTML Content Fetching**: Uses BeautifulSoup to extract the main content from search results.
- **Asynchronous Processing**: Performs HTTP requests asynchronously, providing faster response times.

## Requirements

- Python 3.7 or higher
- `httpx` library
- `beautifulsoup4` library
- `python-dotenv` library

## Installation

### Installing via Smithery

To install n8n-assistant for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@onurpolat05/n8n-assistant):

```bash
npx -y @smithery/cli install @onurpolat05/n8n-assistant --client claude
```

### Manual Installation
1. Clone this repository:
   ```bash
   git clone <repository-url>
   cd <repository-directory>
   ```

2. Install the required dependencies:
   ```bash
   pip install -r requirements.txt
   ```

3. Create a `.env` file and add the necessary API keys:
   ```plaintext
   SERPER_API_KEY=your_api_key_here
   ```

## Usage

To start the assistant, run the following command:
```bash
uvicorn main:app --reload
```

Then, you can query the assistant for information related to n8n like this:
```python
await get_n8n_info("HTTP Request node", "docs")
```

## MCP Server

This project uses the `n8n-asistans` MCP server. The server is started with the following command:
```json
{
    "mcpServers": {
        "n8n-asistans": {
            "command": "uv",
            "args": [
                "--directory",
                "/n8n-assistant",
                "run",
                "main.py"
            ],
            "env":{
                "SERPER_API_KEY": "*********"
            }
        }
    }
}
```

## Contributing

If you would like to contribute, please create a pull request or report issues.

## License

This project is licensed under the MIT License.