semvec/pypi-packages huggingface dataset:
reference-mcp 0.1.1
Get citation data from CiteAs and Google Scholar
License: MIT
Requires Python: >=3.11
Keywords: automation, git, llm, mcp

# CiteAssist MCP server

[![smithery badge](https://smithery.ai/badge/@ndchikin/reference-mcp)](https://smithery.ai/server/@ndchikin/reference-mcp)

A Model Context Protocol server that provides BibTeX-formatted citation data from CiteAs and Google Scholar. Enhance your research workflow by integrating citation retrieval directly into your applications.

## Components

### Tools

* `get_citeas_data` - Retrieve BibTeX-formatted citation for the specified resource from the CiteAs
  * `resource` (string, required): DOI, URL, keyword
* `get_scholar_data` - Retrieve BibTeX-formatted citations from the Google Scholar
  * `query` (string, required): Search query
  * `results` (integer, optional): Number of results (default: 2)

## Quickstart

### Install

#### Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`

On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

Development/Unpublished Servers Configuration:

```json
"mcpServers": {
  "reference-mcp": {
    "command": "uv",
    "args": [
      "--directory",
      "/path/to/project/dir",
      "run",
      "reference-mcp"
    ]
  }
}
```

Published Servers Configuration:

```json
"mcpServers": {
  "reference-mcp": {
    "command": "uvx",
    "args": [
      "reference-mcp"
    ]
  }
}
```

### Installing via Smithery

To install reference-mcp for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@ndchikin/reference-mcp):

```bash
npx -y @smithery/cli install @ndchikin/reference-mcp --client claude
```

## Development

### Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:
```bash
uv sync
```

2. Build package distributions:
```bash
uv build
```

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:
```bash
uv publish
```

Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

### Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).

You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

```bash
npx @modelcontextprotocol/inspector uv --directory /path/to/project/dir run reference-mcp
```

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
pywaai 0.0.18
Python AI wrapper for the WhatsApp Cloud API
License: MIT
Requires Python: >=3.10
Keywords: whatsapp, whatsapp-api, whatsapp-cloud-api, whatsapp-cloud, whatsapp-api-python, whatsapp-cloud-api-python, pywai, whatsapp-ai-python, pywa, wapy, wa, wa-api, wa-cloud-api, wa-cloud, wa-api-python, wa-cloud-api-python, whatsapp-webhook, whatsapp-webhook-python, whatsapp-webhook-api, whatsapp-flows, whatsapp-cloud-api-flows

# [PywAI](https://github.com/emptor/pywai) • Python AI wrapper for the WhatsApp Cloud API

________________________

**PywAI is a simple asynchronous framework (based on PyWA) to enable the creation of AI agents and bots on Whatsapp.**

📄 **Quick Documentation Index**
--------------------------------

*TODO*

------------------------

⚡ **Features**
---------------
- 🚀 Fast and simple to use. No need to worry about the low-level details.
- Use OpenAI to generate responses
- Rewrite long responses to be more conversational
- Save conversation history on a local SQLite (encrypted or not)

------------------------

👨‍💻 **Usage**
----------------

*TODO*

🎛 **Installation**
--------------------

*TODO*

💾 **Requirements**
--------------------

- Python 3.10 or higher - https://www.python.org

📖 **Setup and Usage**
-----------------------

*TODO*

☑️ **TODO**
------------

- Public docs
- Sync with pywa 2.0
- Add more examples and guides

Feel free to open an issue if you have any suggestions. or even better - submit a PR!

⚖️ **License**
---------------

This project is licensed under the MIT License - see the
[LICENSE](https://github.com/emptor/pywai/blob/master/LICENSE) file for details


🔱 **Contributing**
--------------------

Contributions are welcome! Please feel free to submit a Pull Request.
django-countries-states-cities 1.0.23
Countries States Cities models for Django.
License: MIT
Requires Python: >=3.8

# django-countries-states-cities

## 1. Installation

The preferred installation method is directly from pypi:

```bash
# Install django-countries-states-cities
$ pip install -U django-countries-states-cities
```
This Django library is built using the [Countries States Cities Database](https://github.com/dr5hn/countries-states-cities-database).

## 2. Quickstart

In ``settings.py``:
```python
INSTALLED_APPS = [
    'modeltranslation',
    'django.contrib.admin',
    ...,
    'import_export',
    'countries_states_cities'
]

LANGUAGES = [
    ("en", "English"),
    ("ko", "Korean"),
    ("ja", "Japanese"),
    ('zh-hans', 'Simplified Chinese'),  # 간체 중국어
    ('zh-hant', 'Traditional Chinese'),  # 번체 중국어
    ("es", "Spanish"),
    ("ru", "Russian"),
    ("ar", "Arabic"),
]
```

2. In ``urls.py``:
```python
from django.urls import path, include

urlpatterns = [
    ...,
    path('csc/', include('countries_states_cities.urls')),
]
```

## 3. Database Setup
Run the following commands to set up the database:

```bash
# Create migration files for countries_states_cities models
$ python manage.py makemigrations countries_states_cities

# Apply migrations to create countries_states_cities models
$ python manage.py migrate
```

## 4. Loading Initial Data
To load initial data into the database, run the custom command:
```bash
$ python manage.py csc_loaddata_csv
```
This command will import data from predefined CSV files into the database.

## 5. Further Configuration
For further configuration and usage instructions, please refer to the official documentation.

## The MIT License

Copyright (c) 2023 Runners Co.,Ltd.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.