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

Build voice-enabled applications directly inside VS Code by letting Cline manage your voice generation pipeline using this MCP Server.

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

Create your Vinkius account to connect Lovo AI (Genny TTS & Voice Synthesis API) to Cline 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 Cline

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Automated Audio Pipeline Construction via Cline

The `create_tts_job` tool initiates synthetic voice generation directly from your VS Code workspace. Cline uses this tool to convert written copy into high-fidelity voice files during development. After triggering the job, the agent monitors progress with `get_tts_job` until the audio file is ready. Cline then downloads the asset and writes the corresponding HTML5 audio elements into your code.

Programmatic Speaker Selection

The `list_voices` tool provides a complete list of available speaker profiles to your coding agent. Cline reads this metadata to programmatically select the best voice matching your target audience. To inspect the chosen speaker's specific attributes, Cline calls `get_speaker` to verify language and emotional tone. This ensures your application uses the exact voice profile required without manual validation.

Local Asset Management with MCP Server Tools

The `get_tts_job` tool fetches the final audio file location. Cline handles the download, saves the file to your public folder, and updates your React or Vue components with the correct paths. This end-to-end execution removes the manual steps of downloading assets from a browser dashboard. You get a fully functional media asset pipeline built entirely through your IDE agent.

Setup guide

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

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type lovo-ai-genny-tts-voice-synthesis-api-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Lovo AI (Genny TTS & Voice Synthesis API) refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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

Open the Cline sidebar, click the MCP icon, and add the server via the Remote Servers tab. You can also paste the server configuration directly into your `cline_mcp_settings.json` file.

Yes, Cline writes the text, calls the voice synthesis tools, and embeds the resulting audio files directly into your front-end components. This automates the entire media integration workflow.

Cline manages the polling frequency when checking synthesis jobs. It spaces out requests to avoid hitting rate limits, ensuring your development session remains uninterrupted.

Yes, you can instruct the agent to filter the output of the voice listing tools. It will scan the speaker metadata and select only the profiles that match your specific criteria.

Your script text and synthesized audio files are handled through ephemeral connections. The MCP Server processes these payloads in a zero-trust environment, ensuring that no raw text or generated voice assets are cached or stored on the hosting infrastructure.

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