SynClub MCP Server

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)

# 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

{
  "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 model
google_nano_edit_image_highlight_feature	Generate specialized images based on text prompts using Google Nano model for 4 specific highlight features

Environment Variables

• SYNCLUB_MCP_API: Your API key (required)

License

This project is licensed under the MIT License - see the LICENSE file for details.

From

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