semvec/pypi-packages huggingface dataset:
rongda-mcp-server 0.3.2
Add your description here
Requires Python: >=3.11

# rongda-mcp-server

## MCP setup
```json
{
  "mcpServers": {
    "rongda": {
      "command": "pipx",
      "args": ["run", "rongda-mcp-server"],
      "env": {
        "RD_USER": "",
        "RD_PASS": ""
      }
    }
  }
}
```

or 

```json
{
  "mcpServers": {
    "rongda": {
      "command": "/path/to/rongda-mcp-server",
      "args": [],
      "env": {
        "RD_USER": "",
        "RD_PASS": ""
      }
    }
  }
}
```

## Dev
```
uv sync
```
moam 0.1.1
MoaM (Model of All Models) - A placeholder package
Requires Python: >=3.7

# MoaM

A placeholder Python package ready for distribution on PyPI and conda-forge.

## Installation

### From PyPI

```bash
pip install MoaM
```

### From source

```bash
git clone https://github.com/ahe6/MoaM.git
cd MoaM
pip install -e .
```

## Usage

```python
import MoaM

print(MoaM.hello())  # Output: Hello from MoaM!
```

## Development

To install development dependencies:

```bash
pip install -e ".[dev]"
```

## Building and Publishing

### Building the package

```bash
python -m build
```

### Publishing to PyPI

First, install twine:

```bash
pip install twine
```

Then upload to PyPI:

```bash
twine upload dist/*
```

### Publishing to conda-forge

1. Fork https://github.com/conda-forge/staged-recipes
2. Create a new branch for your recipe
3. Add your recipe in `recipes/MoaM/meta.yaml`
4. Submit a pull request

## License

This project is licensed under the MIT License - see the LICENSE file for details.
MoaM 0.1.0
A placeholder package for MoaM
Requires Python: >=3.7

# MoaM

A placeholder Python package ready for distribution on PyPI and conda-forge.

## Installation

### From PyPI

```bash
pip install MoaM
```

### From source

```bash
git clone https://github.com/ahe6/MoaM.git
cd MoaM
pip install -e .
```

## Usage

```python
import MoaM

print(MoaM.hello())  # Output: Hello from MoaM!
```

## Development

To install development dependencies:

```bash
pip install -e ".[dev]"
```

## Building and Publishing

### Building the package

```bash
python -m build
```

### Publishing to PyPI

First, install twine:

```bash
pip install twine
```

Then upload to PyPI:

```bash
twine upload dist/*
```

### Publishing to conda-forge

1. Fork https://github.com/conda-forge/staged-recipes
2. Create a new branch for your recipe
3. Add your recipe in `recipes/MoaM/meta.yaml`
4. Submit a pull request

## License

This project is licensed under the MIT License - see the LICENSE file for details.