semvec/pypi-packages huggingface dataset:
structured-tutorials 0.3.0
Add your description here
Requires Python: >=3.10

# structured-tutorials

![image](https://github.com/mathiasertl/structured-tutorials/workflows/Tests/badge.svg)
![image](https://img.shields.io/pypi/v/structured-tutorials.svg)
![image](https://img.shields.io/pypi/dm/structured-tutorials.svg)
![image](https://img.shields.io/pypi/pyversions/structured-tutorials.svg)
![image](https://img.shields.io/github/license/mathiasertl/structured-tutorials)

`structured-tutorials` allows you to write tutorials that can be rendered as documentation and run on your
system to verify correctness.

With `structured-tutorials` you to specify steps in a configuration file. A Sphinx plugin allows you to
render those commands in your project documentation. A command-line tool can load the configuration file and
run it on your local system.

Please see the [official documentation](https://structured-tutorials.readthedocs.io/) for more detailed
information.

## Installation / Setup

Install `structured-tutorials`:

```
pip install structured-tutorials
```

and configure Sphinx:

```python
extensions = [
    # ... other extensions
    "structured_tutorials.sphinx",
]

# Optional: Root directory for tutorials (default: location of conf.py)
#structured_tutorials_root = DOC_ROOT / "tutorials"
```

## Your first (trivial) tutorial

To create your first tutorial, create it in `docs/tutorial.yaml` (or elsewhere, if you configured
`structured_tutorials_root` in `conf.py`):

```yaml
parts:
  - commands:
      - command: structured-tutorial --help
        doc:
          output: |
            usage: structured-tutorial [-h] path
            ...
```

### Run the tutorial

Run the tutorial with:

```
$ structured-tutorial docs/tutorials/quickstart/tutorial.yaml
usage: structured-tutorial [-h] path
...
```

### Render tutorial in Sphinx:

Configure the tutorial that is being displayed - this will not show any output:

```
.. structured-tutorial:: quickstart/tutorial.yaml

.. structured-tutorial-part::
```

## TODO

* Test file existence or something like that
* Platform independent "echo" step (useful for debugging/testing)
* Run in vagrant

# License

This project is licensed under the MIT License. See LICENSE file for details.
homo-his-heart-mcp 0.1.1
A time server tool built with FastMCP
Requires Python: >=3.8

# Time Server MCP

A time server tool built with FastMCP that provides current time information.

## Features

- Get current time in any timezone
- Simple and easy-to-use API
- Built with FastMCP for efficient communication

## Installation

```bash
pip install time-server-mcp
```

## Usage

### Running the Server

```bash
python -m time_server
```

### Using the Tool

The server provides a `get_current_time` tool that can be called with an optional timezone parameter.

Example usage:

```python
from mcp.client import MCPClient

# Connect to the server
client = MCPClient()

# Get current time in system default timezone
result = client.call("get_current_time")
print(result)

# Get current time in a specific timezone
result = client.call("get_current_time", timezone="Asia/Shanghai")
print(result)
```

## API

### `get_current_time(timezone: Optional[str] = None) -> str`

Gets the current time.

**Parameters:**
- `timezone`: Optional timezone string, e.g., "Asia/Shanghai", "America/New_York". If not provided, system default timezone is used.

**Returns:**
- Formatted current time string in the format: `YYYY-MM-DD HH:MM:SS.SSSSSS TIMEZONE`

## License

MIT
supermaker-ai-image-master-1 1766749.30.966
High-quality integration for https://supermaker.ai/image/
Requires Python: >=3.6

# supermaker-ai-image-master-1

Professional integration for [https://supermaker.ai/image/](https://supermaker.ai/image/).

## Installation

pip install supermaker-ai-image-master-1

## Usage

from supermaker_ai_image_master_1 import get_url

# Get target URL
url = get_url()

## License

MIT