How to Use the Lovo AI (Genny TTS & Voice Synthesis API) MCP in Cursor

Build voice-enabled apps faster in Cursor with the Lovo AI (Genny TTS & Voice Synthesis API) MCP Server.

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Connect Lovo AI (Genny TTS & Voice Synthesis API) MCP to Cursor

Create your Vinkius account to connect Lovo AI (Genny TTS & Voice Synthesis API) to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lovo AI (Genny TTS & Voice Synthesis API) with Cursor

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Inject real audio data into code with Cursor

Have the agent call `create_tts_job` while you write your application logic. You get actual audio assets back, allowing you to test your integration with real-world output immediately. Stop relying on placeholder sounds. With this setup, your code interacts with the live API, giving you immediate feedback on how your implementation handles different text inputs.

Automate voice profile selection in Cursor

Use `list_voices` to see exactly which speakers are ready for your project. Your agent can suggest the best voice based on your app's context, speeding up your development process. Calling `get_speaker` gives you the deep metadata needed to configure your app's audio settings correctly. It maps the IDs directly to your code, removing the risk of manual entry errors.

Debug audio pipelines in Cursor

Use `get_tts_job` to monitor the status of your synthesis requests in real-time. If a job hangs, you see exactly what happened in your chat logs. This makes troubleshooting your audio generation backend simple. You can see the exact API response from the server, helping you fix issues in your code before they impact your end users.

Setup guide

Set up Lovo AI (Genny TTS & Voice Synthesis API) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Lovo AI (Genny TTS & Voice Synthesis API) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Lovo AI (Genny TTS & Voice Synthesis API) transactions." If the MCP tools are loaded correctly, Cursor will call the Lovo AI (Genny TTS & Voice Synthesis API) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "lovo-ai-genny-tts-voice-synthesis-api-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lovo AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Lovo AI (Genny TTS & Voice Synthesis API) MCP in Cursor

Create an .cursor/mcp.json file in your project root. Add the server configuration there, and your agent will be able to access the audio tools immediately.

Absolutely, the agent uses the tools to trigger synthesis during your coding session. You can generate audio responses for your app on the fly.

Yes, by committing your mcp.json file to the repository, every team member gets the same voice tools. This keeps your audio integration consistent across the entire codebase.

The server only handles the specific text strings you send for synthesis. No personal data is stored beyond what is required to complete the API request.

You provide your API key in the environment variables or the configuration file. The server uses this to authenticate your requests directly to the service.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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