semvec/pypi-packages huggingface dataset:
httmcp 0.3.1
HTTP MCP Transport for Nchan
Requires Python: >=3.10

# HTTP MCP Transport for Nchan - Python SDK

This is an HTTP-based MCP (Machine Conversation Protocol) transport library designed for integration with Nchan.

## Installation

```bash
pip install httmcp
```

## Usage

```python
from httmcp import HTTMCP

# Create MCP server
mcp_server = HTTMCP(
    name="my-mcp",
    instructions="This is an MCP server",
    publish_server="http://localhost:8080"
)

# Add MCP server to FastAPI application
app = FastAPI()
app.include_router(mcp_server.router)
```

## OpenAPI Support

HTTMCP also supports creating MCP servers from OpenAPI specifications:

```python
from httmcp import OpenAPIMCP

# Create MCP server from OpenAPI specification
mcp_server = await OpenAPIMCP.from_openapi(
    definition="openapi.json",
    name="my-openapi-mcp",
    publish_server="http://localhost:8080"
)

# Add MCP server to FastAPI application
app = FastAPI()
app.include_router(mcp_server.router)
```

## One-Click GPTs Actions to MCP Deployment

HTTMCP provides a powerful CLI for instant deployment of GPTs Actions to MCP servers:

```bash
# Installation
pip install httmcp[cli]

# One-click deployment from GPTs Actions OpenAPI spec
python -m httmcp -f gpt_actions_openapi.yml -p http://nchan:80

# Complete deployment with custom configuration
python -m httmcp \
  --openapi-file gpt_actions_openapi.yml \
  --name "my-gpts-service" \
  --publish-server http://nchan:80 \
  --host 0.0.0.0 \
  --port 8080
```

CLI options:
- `-f, --openapi-file`: OpenAPI specification file path or URL (required)
- `-p, --publish-server`: Nchan publish server URL for MCP transport (required)
- `-n, --name`: Custom name for your MCP server (default: derived from OpenAPI)
- `-H, --host`: Host address to bind the server (default: 0.0.0.0)
- `-P, --port`: Local port number for accessing your deployed MCP service (default: 8000)
goldpirate 1.8.3
A python module to download torrents
Requires Python: >=3.8
Keywords: torrent, download

# Gold Pirate

Why join the Navy if you can be a Pirate?  
Python script to download torrent from the Internet.

## Installation
The package can be downloaded directly from [PyPi](https://pypi.org/project/goldpirate/).
```bash
pip install goldpirate
```

## Setup QBitTorrent
In order to download torrent, you need QBitTorrent.
1. Download and install [QBitTorrent](https://www.qbittorrent.org/download.php)
2. Go to **Settings** > **WEB UI**
	* Check **Web UI interface**
	* Set port to **8080**
	* Check **Bypass authentication for clients on localhost**

![alt text](https://github.com/mortafix/homebrew-goldpirate/blob/master/images/QBit-Settings.png?raw=true)  

## Example
You can see the help, `-h`, man to know all the possibile commands.
```bash
goldpirate -q "The Matrix"
goldpirate -q "Harry Potter" -s age
goldpirate -q "Back to the Future" -s size -e rarbg -o /home/me/movies --plain-text --verbose
```
![alt text](https://github.com/mortafix/homebrew-goldpirate/blob/master/images/Example.png?raw=true)  

## Supported Sites
1. [1337x](https://1337x.to/)
2. [LimeTorrents](https://limetorrents.info/)
3. [TorLock](https://torlock.com)
4. [TorrentDownloads](https://torrentdownloads.me)
5. [IlCorsaroNero](https://ilcorsaronero.link)
6. [RarBG](https://rargb.to)
7. [ThePirateBay](https://thepiratebay.org)
ta-cli 0.1.1
Add your description here
Requires Python: >=3.12

# TA - DeepSeek AI CLI Tool

A command-line interface tool for interacting with DeepSeek AI.

## Installation

```bash
pip install ta
```

## Usage

```bash
ta "Your question here"
```

## Features

- Interactive chat with DeepSeek AI
- Streaming responses
- Rich terminal output with markdown support

## Requirements

- Python 3.12 or higher
- DeepSeek API key (set as DEEPSEEK_KEY environment variable)

## License

MIT License