Chatterbox-Multilingual-TTS

by echo-ai-officialco.huggingface.echo-ai-official/chatterbox-multilingual-tts

How the score works

Chatterbox TTS supporting 23 languages

  • Remote endpoint
  • 2 tools

Uptime

Checked  · every day

100%from 9 days of checks

Up without downtime on 9 of 9 days with data.

  • No downtime
  • Degraded
  • Down over 5 minutes
  • No data
  • Not checked yet

Response time

Median 1199 ms, slowest 5% 1863 ms for the handshake and the tool list, over 30 days.

2000 ms1000 ms0

How far each check got

  • Reached the address 100%
  • Completed the handshake 100%
  • Listed its tools 100%

2 tools at the last answer; the list changed on 7 Nov.

Every day
DayResultChecksMedian
8 Nov (today)No downtime11349 ms
7 NovNo downtime1of 11723 ms
6 NovNo downtime1of 11151 ms
5 NovNo downtime1of 11025 ms
4 NovNo downtime1of 11170 ms
3 NovNo downtime1of 11428 ms
2 NovNo downtime1of 11276 ms
1 NovNo downtime1of 11064 ms
31 OctNo downtime2985 ms

A failure counts as down time only when a second check five minutes later fails too. How we check

Connect to the publisher's own endpoint

Run in a terminal:

claude mcp add --transport sse chatterbox-multilingual-tts https://echo-ai-official-chatterbox-multilingual-tts.hf.space/gradio_api/mcp/sse
For agents: the install prompt

Every step above as one Markdown text, for an assistant installing it for you.

# Install the MCP server Chatterbox-Multilingual-TTS (`co.huggingface.echo-ai-official/chatterbox-multilingual-tts`)

Its page: https://plug.directory/servers/co.huggingface.echo-ai-official/chatterbox-multilingual-tts

It runs on the publisher's servers; the client connects to its URL.

Use the section for the person's client.

## Claude Desktop

Paste into Settings › Connectors › Add custom connector:

```text
https://echo-ai-official-chatterbox-multilingual-tts.hf.space/gradio_api/mcp/sse
```

## Claude Code

Run in a terminal:

```sh
claude mcp add --transport sse chatterbox-multilingual-tts https://echo-ai-official-chatterbox-multilingual-tts.hf.space/gradio_api/mcp/sse
```

## Cursor, Devin Desktop, LM Studio, Gemini CLI, oterm, ECA

Merge into the place for the person's client:

- Cursor: ~/.cursor/mcp.json
- Devin Desktop: ~/.config/devin/mcp_config.json
- LM Studio: mcp.json (Program › Install › Edit mcp.json)
- Gemini CLI: ~/.gemini/settings.json
- oterm: config.json in oterm's data folder (~/Library/Application Support/oterm on macOS, ~/.local/share/oterm on Linux, %APPDATA%\oterm on Windows)
- ECA: ~/.config/eca/config.json (global) or .eca/config.json in the project

```json
{
  "mcpServers": {
    "chatterbox-multilingual-tts": {
      "url": "https://echo-ai-official-chatterbox-multilingual-tts.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## VS Code

Merge into .vscode/mcp.json:

```json
{
  "servers": {
    "chatterbox-multilingual-tts": {
      "type": "sse",
      "url": "https://echo-ai-official-chatterbox-multilingual-tts.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Zed

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Cline, AnythingLLM, Augment Code

Merge into the place for the person's client:

- Cline: cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers)
- AnythingLLM: anythingllm_mcp_servers.json in the AnythingLLM storage plugins directory
- Augment Code: Augment Settings Panel – MCP section – Import from JSON (VS Code extension)

```json
{
  "mcpServers": {
    "chatterbox-multilingual-tts": {
      "type": "sse",
      "url": "https://echo-ai-official-chatterbox-multilingual-tts.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Continue

Merge into ~/.continue/config.yaml:

```yaml
mcpServers:
  - name: "chatterbox-multilingual-tts"
    type: sse
    url: "https://echo-ai-official-chatterbox-multilingual-tts.hf.space/gradio_api/mcp/sse"
```

## Goose

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Codex

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## mcp-client-cli, TUUI, BoltAI, Bob Shell, Kiro, Kiro CLI

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Agenvoy

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Amp

Merge into ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):

```json
{
  "amp.mcpServers": {
    "chatterbox-multilingual-tts": {
      "url": "https://echo-ai-official-chatterbox-multilingual-tts.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

Then restart the client, or reload its MCP servers, and ask it to list the server's tools to confirm it started.

Tools 2

  • Chatterbox_Multilingual_TTS_generate_tts_audio Generate high-quality speech audio from text using Chatterbox Multilingual model with optional reference audio styling. Supported languages: English, French, German, Spanish, Italian, Portuguese, and Hindi. This tool synthesizes natural-sounding speech from input text. When a reference audio file is provided, it captures the speaker's voice characteristics and speaking style. The generated audio maintains the prosody, tone, and vocal qualities of the reference speaker, or uses default voice if no reference is provided. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: tuple[int, np.ndarray]: A tuple containing the sample rate (int) and the generated audio waveform (numpy.ndarray)
  • Chatterbox_Multilingual_TTS_on_language_change If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool

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