# Synclub Mcp Server

> MCP server from 520chatgpt01/Synclub-mcp-server.

- **Type:** MCP server
- **Install:** `agentstack add mcp-520chatgpt01-synclub-mcp-server`
- **Verified:** Pending review
- **Seller:** [520chatgpt01](https://agentstack.voostack.com/s/520chatgpt01)
- **Installs:** 0
- **Category:** [Integrations](https://agentstack.voostack.com/c/integrations)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [520chatgpt01](https://github.com/520chatgpt01)
- **Source:** https://github.com/520chatgpt01/Synclub-mcp-server

## Install

```sh
agentstack add mcp-520chatgpt01-synclub-mcp-server
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

SynClub MCP Server

  Official SynClub Model Context Protocol (MCP) Server that enables powerful AI generation capabilities including text-to-speech, voice cloning, video generation, image generation, and more. Compatible with MCP clients like Claude Desktop, Cursor, Windsurf, and others.

## Features

-  **Text-to-Speech**: Convert text to natural speech with multiple voice options
-  **Voice Cloning**: Clone voices from audio samples
-  **Video Generation**: Generate videos from text prompts or images
-  **Image Generation**: Create images from text descriptions
-  **Image Recognition**: Analyze and understand image content
-  **Background Removal**: Automatically remove backgrounds from images
-  **HD Image Restoration**: Enhance image quality and resolution
-  **AI Search**: Intelligent search with AI-powered results
-  **Japanese TTS**: Specialized Japanese text-to-speech

## Quick Start

### 1. Install uv (Python Package Manager)

```bash
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
powershell -c "irm https://astral.sh/uv/install.sh | iex"

# Or via package managers
# brew install uv
# pip install uv
```

### 2. Get Your API Key

Obtain your API key from your account information page on the SynClub server website.

### 3. Configure Your MCP Client

#### Claude Desktop

**Step 1: find your config file**
You can find your config file at:
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`

Or you can find your config file in claude setting:

Click claude setting:

Edit config file:

Open config file:

**Step 2: append this config to your own file**

```json
{
  "mcpServers": {
    "SynClub": {
      "command": "uvx",
      "args": [
          "synclub-mcp"
      ],
      "env": {
          "SYNCLUB_MCP_API": "your api key"
      }
    }
  }
}
```

If you have any problem with the command uvx, try to use the command `which uvx` to find the absolute path of uvx and replace the command in the config file.

**step 3：save and restart your claude application**
- **important：make sure to restart claude that your config file will update and check the connection in claude developer**

##  Available Tools

| Tool Name | Description |
|-----------|-------------|
| `minimax_text_to_audio` | Convert text to speech with customizable voice settings |
| `minimax_generate_video` | Minimax generate videos |
| `minimax_voice_clone` | Clone voices from audio files |
| `minimax_text_to_image` | Generate images from text prompts |
| `kling_generate_text_to_video` | Start generate videos from text descriptions using Kling models|
| `kling_query_ttv_task` | Get the generate result from generate_text_to_video tool|
| `kling_generate_image_to_video` | Start generate videos from images with text prompts using Kling models|
| `kling_query_gttv_task` | Get the generate result from generate_image_to_video tool|
| `openai_image_recognition` | Analyze and recognize image content |
| `openai_edit_image` | Edit images based on a text prompt |
| `remove_bg` | Automatically remove image backgrounds |
| `hd_restore` | Enhance image quality and resolution |
| `openai_generate_image` | Generate images using alternative models |
| `ai_search` | Perform AI-powered search queries |
| `japanese_tts` | Japanese text-to-speech conversion |
| `generate_comic_story` | Generate a comic story based on input story theme |
| `generate_comic_chapters` | Generate comic story chapters based on novel input, character info and chapter number |
| `generate_comic_image_prompts` | Generate image prompts based on comic story chapter and character info |
| `edit_comic_story` | Edit comic story based on edit prompt and input story. |
| `edit_comic_chapters` | Edit comic chapters based on edit prompt and input chapters. |
| `ugc_tti` | Generate a anime character based on a text prompt |
| `anime_pose_align` | Generate a pose align image based on an anime character image |
| `anime_comic_image` | Generate a comic image based on prompt |
| `flux_edit_image` | edit image based on image url and image prompts |
| `google_nano_tti` | generate image based on text prompt using google nano model |
| `google_nano_edit_image` | Edit and modify existing images based on text prompts using Google Nano banana model |
| `google_nano_edit_image_highlight_feature` | Generate specialized images based on text prompts using Google Nano model for 4 specific highlight features |
| `sora_generate_text_to_video_` | Generate video based on text prompt using sora-2 api
| `veo_generate_text_to_video` | Generate video based on text prompt using google veo api
| `sora_generate_text_to_video_` | Generate video based on text prompt using google veo api
| `flux_pro_tti` | Generate image based on text prompt using flux pro model
| `flux_pro_edit_image` | Generate image based on text prompt and image using flux pro model 
| `google_nano_banana_pro_generate_image` | Generate image based on text prompt and image using Google Nano banana pro model

### Environment Variables

- `SYNCLUB_MCP_API`: Your API key (required)

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## From
https://github.com/520chatgpt01/Synclub-mcp-server

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [520chatgpt01](https://github.com/520chatgpt01)
- **Source:** [520chatgpt01/Synclub-mcp-server](https://github.com/520chatgpt01/Synclub-mcp-server)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** yes
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: flagged — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-520chatgpt01-synclub-mcp-server
- Seller: https://agentstack.voostack.com/s/520chatgpt01
- Browse the marketplace: https://agentstack.voostack.com/browse

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