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

Standardize voice synthesis across your team in VS Code 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 VS Code Copilot

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

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Share audio tools in VS Code Copilot

Define the server in your `.vscode/mcp.json` file to give every developer on your team access to `create_tts_job`. This ensures everyone uses the same voice generation logic. It eliminates the setup headache for new contributors. Once they pull the repo, the tools are ready to use in the agent chat, keeping the team moving fast.

Standardize voice profiles in VS Code Copilot

Use `list_voices` to verify that your team is using approved speaker IDs for your project. This keeps your audio consistent across different features and modules. Developers can use `get_speaker` to see the full list of attributes for any voice. It makes choosing the right tone for your application a quick, data-driven decision.

Monitor production audio tasks in VS Code Copilot

Track the status of your synthesis requests by calling `get_tts_job` from the editor. This gives you visibility into how your backend handles incoming requests. It helps you keep an eye on your API limits and job performance. You can catch issues early by checking the status of your jobs without ever needing to open a separate dashboard.

FAQ

What is the best way to share Lovo AI (Genny TTS & Voice Synthesis API) in VS Code Copilot? Commit the mcp.json file to your repository. This allows every team member to use the same configuration, ensuring your audio integration is standardized across the organization.

Setup guide

Set up Lovo AI (Genny TTS & Voice Synthesis API) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

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

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Lovo AI (Genny TTS & Voice Synthesis API) tools listed. Try asking: "List my recent Lovo AI (Genny TTS & Voice Synthesis API) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

Get your connection token →

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Common questions about Lovo AI (Genny TTS & Voice Synthesis API) MCP in VS Code Copilot

Add the server to your .vscode/mcp.json file. Once configured, switch your chat to Agent mode, and you will see the tools available for use.

Yes, the tools are designed for programmatic access. You can build scripts that use the server to automate your audio generation workflows.

The server connects directly to the API using your credentials. No data is intercepted or stored by the MCP runtime, maintaining your security posture.

Your text input and voice selection are sent directly to the synthesis engine. We only handle the processing of these specific job requests.

The system uses secure token-based authentication for every request. Your sensitive API credentials remain encrypted in your local environment settings.

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