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RunAPI Gemini TTS MCP Server

by runapi-ai

Why This Package?

@runapi.ai/gemini-tts-mcp is a focused Model Context Protocol server for the Gemini TTS model line on RunAPI. It gives MCP-compatible assistants direct access to 1 endpoint and 2 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Gemini TTS. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.


Related MCP server: ElevenLabs MCP Server

Install

Add it to Claude Code:

claude mcp add gemini-tts -s user -- npx -y @runapi.ai/gemini-tts-mcp

Use project scope when the server should be shared with a repository:

claude mcp add gemini-tts -s project -- npx -y @runapi.ai/gemini-tts-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

{
  "mcpServers": {
    "gemini-tts": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/gemini-tts-mcp"]
    }
  }
}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.


Tools

Tool

Auth

Purpose

text_to_speech

Yes

Create a Gemini TTS text to speech task and optionally wait for a terminal status. Returns the task id, status, and output URLs.

get_task

Yes

Fetch the current status and latest payload for an existing task.

check_pricing

No

Look up current pricing for a Gemini TTS model and endpoint.


Models

Gemini TTS covers 2 model variants across 1 endpoint. Each tool accepts the models listed for it:

Tool

Models

text_to_speech

gemini-2.5-pro-tts, gemini-3.1-flash-tts

Model availability can change between releases. Use check_pricing or the Gemini TTS model page for the current catalog view.


Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

Run a Gemini TTS text to speech task with RunAPI.

The assistant can call check_pricing, then text_to_speech, and return the task id, status, and output URLs.

Submit without waiting

Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating

Check current Gemini TTS pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Gemini TTS model page for the canonical catalog entry.


Configuration

The server resolves auth in this order:

  1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts

  2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login

  3. No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys.


Resource

URL

Gemini TTS model page

https://runapi.ai/models/gemini-tts

npm package

@runapi.ai/gemini-tts-mcp

GitHub repository

runapi-ai/gemini-tts-mcp

RunAPI MCP overview

runapi.ai/mcp

RunAPI docs

runapi.ai/docs


License

Licensed under the Apache License, Version 2.0.

Install Server
A
license - permissive license
A
quality
B
maintenance

Maintenance

Maintainers
Response time
1wRelease cycle
2Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

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