Official SynClub Model Context Protocol (MCP) Server that enables powerful AI generation capabilities including text-to-speech, voice cloning, video
Most AI and media services work still happens through a UI a human drives. Synclub MCP server moves it into the conversation instead. 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.
The server publishes 14 tools. What each one is for:
minimax_text_to_audio — Convert text to speech with customizable voice settingsminimax_generate_video — Minimax generate videosminimax_voice_clone — Clone voices from audio filesminimax_text_to_image — Generate images from text promptskling_generate_text_to_video — Start generate videos from text descriptions using Kling modelskling_query_ttv_task — Get the generate result from generate_text_to_video toolkling_generate_image_to_video — Start generate videos from images with text prompts using Kling modelskling_query_gttv_task — Get the generate result from generate_image_to_video toolopenai_image_recognition — Analyze and recognize image contentopenai_edit_image — Edit images based on a text promptremove_bg — Automatically remove image backgroundshd_restore — Enhance image quality and resolutionConfiguration is passed through the environment: SYNCLUB_MCP_API. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
and on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Synclub's toolset — minimax_text_to_audio, minimax_generate_video, minimax_voice_clone and 11 more — is a fair guide to whether it matches your workflow. It is maintained by 520chatgpt01; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| 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 |
{
"mcpServers": {
"synclub": {
"command": "uvx",
"args": ["and"],
"env": {
"SYNCLUB_MCP_API": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| SYNCLUB_MCP_API | Configuration value read at startup. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.