SuperClonica text to speech

Name: SuperClonica text to speech
Author: superclonica-tts

作者：superclonica-tts版本 0.1.1i★ –i在你的电脑上运行

注册名称io.github.superclonica-tts/superclonica-mcp

安装

概览

作者提供的说明（英文原文）

Local text to speech in about 190 voices and 31 languages, offline with no limits.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 设计、图片与音频
你需要填写：SUPERCLONICA_API_KEY

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： SUPERCLONICA_API_KEY, SUPERCLONICA_DEVICE

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "superclonica": {
      "command": "uvx",
      "args": [
        "superclonica-mcp"
      ],
      "env": {
        "SUPERCLONICA_API_KEY": "your-value",
        "SUPERCLONICA_DEVICE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add superclonica --env SUPERCLONICA_API_KEY=your-value --env SUPERCLONICA_DEVICE=your-value -- uvx superclonica-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "superclonica": {
      "command": "uvx",
      "args": [
        "superclonica-mcp"
      ],
      "env": {
        "SUPERCLONICA_API_KEY": "your-value",
        "SUPERCLONICA_DEVICE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "superclonica": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "superclonica-mcp"
      ],
      "env": {
        "SUPERCLONICA_API_KEY": "your-value",
        "SUPERCLONICA_DEVICE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

SUPERCLONICA_API_KEY 机密 env
Optional key from https://superclonica.com/speech-api, for installing bought voices
SUPERCLONICA_DEVICE env
cpu or gpu

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 superclonica-tts 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

星标数多于此分类中其他 2760 个服务器的 0%
发布到注册中心的时间比此分类中其他 2760 个服务器的 83% 更新
基础检查结果等于或优于此分类中其他 2760 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

SuperClonica text to speech 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：SUPERCLONICA_API_KEY

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.1.1）于6天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者：GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新

安装

Claude Real Video

作者：HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新

安装

Figma MCP Server

作者：figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

SuperClonica MCP server

Text to speech for Claude and other MCP clients, running on your own computer: offline after the first run, no limits, 31 languages. It is the local sibling of the cloud server at https://superclonica.com/mcp, with the same tool names. Voices come from the SuperClonica catalog.

Works on Windows, macOS and Linux with Python 3.10 or newer. Chinese is not supported.

Set it up

You need uv, which gives the uvx command. The first start installs the engine, which takes a minute or two. The first speak downloads the voice model (about 400 MB) once.

Claude Desktop. Add this to claude_desktop_config.json and restart the app:

"mcpServers": { "superclonica": { "command": "uvx", "args": ["superclonica-mcp"], "env": { "SUPERCLONICA_API_KEY": "sc_..." } } } }

If the app cannot find uvx, put the full path to it in command. On Windows where uvx prints it, on macOS and Linux which uvx.

Claude Code:

claude mcp add superclonica -e SUPERCLONICA_API_KEY=sc_... -- uvx superclonica-mcp

Cursor (~/.cursor/mcp.json) takes the same JSON as Claude Desktop. VS Code (.vscode/mcp.json) takes the same entry under "servers", with "type": "stdio" added.

Without uvx, these start the same server: pipx run superclonica-mcp, or python -m superclonica_mcp after pip install superclonica-mcp.

The API key is optional. Stock and free catalog voices need none. Installing a bought or your own voice does; creating a key is free.

Tools

Tool	What it does
`list_voices(query?, limit?)`	Voices on this computer and, when online, the catalog. Shows for each whether it is installed, yours, free or must be bought, with its page.
`speak(text, voice, language, format?, output_path?, include_audio?)`	Voices the text on this computer and saves mp3, wav or ogg. Gives the file's path and length, and the audio itself if asked. Up to 20000 characters per call. An existing file is never overwritten.
`install_voice(voice)`	Downloads a voice you may use to this computer. A version you already have is not downloaded again.
`buy_voice(voice)`	Gives the link to the voice's page. It never pays: you buy in your browser, then tell the assistant to install it.
`play(path)`	Plays an mp3, wav or ogg file with the system player.
`get_usage()`	Whether the model is loaded and on what device, and which folders are used. The local engine has no limits.

voice is an id from list_voices, a stock name (F1–F5, M1–M5) or an exact name. When a name fits several voices you get the candidates to choose from, never a guess.

To use your own voice file, put its JSON in the voices folder. It goes by its file name.

Buying a voice

Ask for a voice, for example "find a calm narrator". The assistant calls list_voices.
If it must be bought, the assistant calls buy_voice and gives you a link that opens the purchase window.
Confirm the purchase in your browser. Only your click can buy.
Say "install it". After that the voice works offline.

Settings

All are optional environment variables.

Variable	Meaning	Default
`SUPERCLONICA_API_KEY`	Key for installing bought and your own voices	none
`SUPERCLONICA_VOICES_DIR`	Folder of voices	Windows `%APPDATA%\SuperClonica\voices`; macOS `~/Library/Application Support/SuperClonica/voices`; Linux `~/.local/share/superclonica/voices`
`SUPERCLONICA_OUTPUT_DIR`	Folder for audio	`audio` beside the voices folder
`SUPERCLONICA_DEVICE`	`cpu` or `gpu`	GPU if the GPU engine is installed, else CPU

Faster on an NVIDIA GPU

uvx superclonica-mcp installs the CPU engine, and the CPU and GPU engines cannot share one environment. For the GPU engine (Windows or Linux x86-64, Python 3.11+), make an environment of its own:

uv venv superclonica-gpu --python 3.12

uv pip install --python superclonica-gpu superclonica-gpu-cuda uv pip install --python superclonica-gpu --no-deps superclonica-mcp uv pip install --python superclonica-gpu "mcp>=2.3,<3" "truststore>=0.10"

Then use the Python of that environment as the command, with -m superclonica_mcp as the arguments and SUPERCLONICA_DEVICE=gpu in env.

When something goes wrong

"The voice model is still loading": the first run is downloading the model, and that goes on in the background. Ask again in a minute.
The client shows no tools: look at the server's log (Claude Desktop: *Settings → Developer*). The server writes its log only to stderr.
A long text times out: on a CPU, voice long texts in parts.

License

Apache-2.0. The voice model is Supertonic 3 under its own OpenRAIL-M license, downloaded from its original place by the engine.