← rime.ai

INDIVIDUAL MCP TOOL

list_voices

List Rime's voice catalog as JSON keyed by model and language: { modelId: { langCode: [speaker, ...] } }.

rime.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.rime.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for list_voices and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

rime.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.rime-mcp]
url = "https://mcp.rime.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "rime-mcp": {
      "type": "http",
      "url": "https://mcp.rime.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: rime-mcp
Remote MCP URL: https://mcp.rime.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "rime-mcp": {
      "url": "https://mcp.rime.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "rime-mcp": {
      "type": "http",
      "url": "https://mcp.rime.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "rime-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.rime.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • get_voice_details — Return detailed metadata for Rime voices (gender, age, accent/dialect, country, genre, model, and language).
  • check_dictionary — Check which words are NOT in Rime's pronunciation dictionary.
  • normalize_text — Preview how Rime normalizes text before synthesis — exactly what the TTS model will speak.
  • synthesize_speech — Generate an MP3 speech sample from text using Rime TTS, rendered in an inline audio player.
  • generate_integration — Generate a ready-to-run code snippet for wiring Rime TTS into a voice agent framework (Pipecat or LiveKit).