semvec/pypi-packages huggingface dataset:
iflow-mcp_LuniaKunal-mcp-twitter 0.1.0
Twitter MCP Server - Manage your Twitter account programmatically
Requires Python: >=3.11

# Twitter MCP Server

Welcome to the Twitter MCP (Multi-Channel Platform) Server! This application helps you manage your Twitter account programmatically with a variety of powerful features.

## Features
- **Get Timeline:** Retrieve your Twitter home timeline.
- **Get Any User's Tweets:** Fetch tweets from any public Twitter user.
- **Hashtag Search:** Search for tweets containing any hashtag (e.g., `#AI`).
- **Get Replies & Summaries:** Retrieve replies to tweets and get summarized insights.
- **User Direct Messages:** Send and receive Twitter DMs.
- **Create Post:** Programmatically create new tweets.
- **Delete Post:** Delete your tweets through the API.
- **And much more...**


[![Twitter MCP Server](https://github.com/user-attachments/assets/1a05ab8f-75b3-4fec-b91d-402f65d41544)](https://smithery.ai/server/@LuniaKunal/mcp-twitter)

![Twitter MCP Server](image.png)

## Getting Started

### Prerequisites
- Python 3.11+
- [uvicorn](https://www.uvicorn.org/) (for running the server)
- Twitter API credentials (set in `.env` file)

### Installation
1. Clone this repository.
2. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```
3. Set up your `.env` file with your Twitter API credentials (see `.env.example`).

### Running the Application

To start the server, run:
```bash
uv run --with twikit --with mcp Path\\src\\tweet_service.py
```

```
{
  "mcpServers": {
  "twitter-mcp": {
    "command": "uv",
    "args": [
      "--directory",
      "Path\\src\\",
      "run",
      "--with",
      "twikit",
      "--with",
      "mcp",
      "tweet_service.py"
    ],
    "env": {
      "COOKIES_PATH": "Path\\cookies.json",
      "ENV_FILE": ".env"  
    }
  }

}
}
```

---

Feel free to contribute or suggest new features!
kmoe 0.1.1
Command-line manga downloader for kxx.moe / kzz.moe / koz.moe
Requires Python: >=3.10
Keywords: cli, comic, downloader, manga

# kmoe

[English](README_EN.md)

kxx.moe / kzz.moe / koz.moe 漫画站点的命令行下载工具。

## 功能

- 邮箱登录，Session 加密存储
- 搜索漫画，支持语言筛选
- 查看漫画详情和卷列表
- 下载漫画（MOBI / EPUB），支持并发下载
- 本地库管理：查看、导入、关联、更新
- 多镜像自动故障转移

## 安装

需要 Python 3.10+。

```bash
pip install kmoe
```

或从源码安装：

```bash
git clone https://github.com/holdjun/kmoe.git
cd kmoe
pip install .
```

开发模式：

```bash
pip install uv
uv sync
```

## 使用

### 登录

```bash
kmoe login -u your@email.com
kmoe status                            # 查看登录状态和配置
```

首次登录会引导配置下载目录、默认格式等参数。

### 搜索

```bash
kmoe search "龍珠"
kmoe search "SAKAMOTO" --lang jp --page 2
```

搜索结果显示每部漫画的 **Comic ID**（`ID` 列），后续操作需要用到。

### 查看详情

```bash
kmoe info 18488
```

显示漫画元数据、每卷的 Vol ID 及文件体积。

### 下载

```bash
kmoe download 18488                    # 下载全部卷
kmoe download 18488 -V 1001,1002      # 指定 Vol ID
kmoe download 18488 -f epub            # 指定格式
```

### 本地库

```bash
kmoe library                           # 查看已下载
kmoe update 18488                      # 更新漫画（下载新卷）
kmoe scan --dry-run                    # 预览导入
kmoe scan                              # 导入已有目录
kmoe link /path/to/manga 12345         # 手动关联
```

## 配置

配置文件位于 `~/.local/share/kmoe/config.toml`，登录时自动创建。

可配置项：下载目录、默认格式、首选镜像、并发数等。

## License

[MIT](LICENSE)
iflow-mcp_ababdotai-weather 0.1.1
Add your description here
Requires Python: >=3.10

1. Install uv
```shell
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
```

2. Install dependencies
```shell
uv sync
```

3. Add the server to client
- Claude Desktop

Open the `claude_desktop_config.json` file:
```shell
# macOS/Linux
code ~/Library/Application\ Support/Claude/claude_desktop_config.json
# Windows
code $env:AppData\Claude\claude_desktop_config.json
```

Add the server to the `mcpServers` object:
```json
# macOS/Linux
{
    "mcpServers": {
		"weather": {
			"command": "/ABSOLUTE/PATH/TO/PARENT/FOLDER/uv",
			"args": [
				"--directory",
				"/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather",
				"run",
				"weather.py"
			]
		}
	}
}
# Windows
{
    "mcpServers": {
        "weather": {
            "command": "C:\\ABSOLUTE\\PATH\\TO\\PARENT\\FOLDER\\uv",
            "args": [
                "--directory",
                "C:\\ABSOLUTE\\PATH\\TO\\PARENT\\FOLDER\\weather",
                "run",
                "weather.py"
            ]
        }
    }
}
```


4. Test the server
- Claude Desktop: Ask "What is the weather in San Francisco?" or What are the active weather alerts in Texas?", you shall see Claude is asking you for server invocation.
fastembed-haystack 2.1.0
Haystack 2.x component to embed strings and Documents using fastembed embedding model
Requires Python: >=3.10

# fastembed-haystack

[![PyPI - Version](https://img.shields.io/pypi/v/fastembed-haystack.svg)](https://pypi.org/project/fastembed-haystack)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/fastembed-haystack.svg)](https://pypi.org/project/fastembed-haystack)

- [Integration page](https://haystack.deepset.ai/integrations/fastembed)
- [Changelog](https://github.com/deepset-ai/haystack-core-integrations/blob/main/integrations/fastembed/CHANGELOG.md)

---

## Contributing

Refer to the general [Contribution Guidelines](https://github.com/deepset-ai/haystack-core-integrations/blob/main/CONTRIBUTING.md).
dc-imgflow-social 0.1.0
A lightweight Khmer greeting utility for Python

# DC ImgFlow Social

**Credit:** Original development by **Dai Chao Online**

DC ImgFlow Social is a lightweight Python package for image-focused social media utilities and simple automation. It’s built for developers who want fast setup and clean APIs without unnecessary complexity.

## Features

- Lightweight and fast  
- Simple and clear API  
- Beginner friendly  
- Image-focused social helpers  
- Supports Python 3.10+

## Installation

Install using pip:

```bash
pip install dc-imgflow-social