semvec/pypi-packages huggingface dataset:
cosyvoice-mcp 0.6.0
A MCP server for CosyVoice TTS using DashScope API
Requires Python: >=3.8

# cosyvoice-mcp
A Python-based MCP server for integrating CosyVoice TTS with the Bailian platform.

## Installation
```bash
pip install cosyvoice-mcp
```

## Usage
```bash
DASHSCOPE_API_KEY=sk-xxx cosyvoice-mcp
```

## Features
Supports JSON-RPC over HTTP (streamable-http)
Compatible with FastMCP and DashScope TTS
Base64-encoded audio output


## Request
### stdio
tool: text_to_speech

说明：调用百炼平台CosyVoice V2进行语音合成

### streamable-http
- url: http://localhost:8000/mcp/tools/text_to_speech
- method: POST

## Parameters
- text: text string to  be synthesized
- voice_type: Such as the enumeration value of longxiaocheng_v2. Please refer to https://help.aliyun.com/zh/model-studio/cosyvoice-python-api?spm=a2c4g.11186623.0.i2#fbe0209896w38

## 返回
```json
{
  "request_id": "7f6da1729d7345babb976d497f8bfaaa",
  "output": {
    "audio": {
      "data": "SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjU4Lj...", //base64 encoded audio
      "mime_type": "audio/mpeg",
      "file_name": "哈哈_longxiaocheng_v2.mp3"
    },
    "metrics": {
      "first_byte_latency": 738.578125,
      "text_length": 2
    }
  }
}
```
geekar 1.0
Guitar learning application for the Linux terminal
Requires Python: >=3.10
Keywords: guitar, learn

# Geekar

Geekar is a guitar learning application for the Linux terminal.


## Features

It features an interactive fretboard that displays:

- Major and natural minor scales
- Major and minor pentatonic scales
- Scale notes and degrees
- Triads for each scale degree

![](screenshots/geekar-start.png)

Geekar facilitates study of the CAGED system. For each supported scale it colors the fretboard accordingly.

![](screenshots/geekar-c-major-caged.png)

The interactive fretboard is playable. Click on a fretboard location and listen to the corresponding pitch.

![](screenshots/geekar-c-major-pitch-play.png)

Supported scales can also be played. Geekar suggests the finger that should be used.

![](screenshots/geekar-c-major-play-scale.png)

A very simple metronome has also been included in the application.

## Build

Geekar has been written using the [textualize](https://textual.textualize.io/) framework.

It has the following system dependencies:

- fluidsynth

To build the application, execute on a Python virtual environment:

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

## License

Geekar has been created by human beings for human beings. It is a free and open source project licensed under AGPL v3 only.
If you find its code as training input for [non-foss ML models](https://sfconservancy.org/blog/2024/oct/31/open-source-ai-definition-osaid-erodes-foss/) consider it stolen.