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

Q: How do I register the Lovo AI (Genny TTS & Voice Synthesis API) tools in a Mastra AI agent?

Install @mastra/mcp and instantiate the MCP client with your Vinkius URL. Call mcpClient.listTools() and spread those tools directly into your Mastra agent configuration.

Q: Can I build an automatic retry loop for Lovo AI (Genny TTS & Voice Synthesis API) inside Mastra AI?

Yes. You can design a workflow where createttsjob is the initial step, and if it fails, Mastra handles the exponential backoff automatically before polling getttsjob for the finished file.

Q: How does Mastra AI handle voice directory updates from the Lovo AI (Genny TTS & Voice Synthesis API)?

Your agent can run scheduled workflows that execute listvoices to cache active speakers. It can then run getspeaker to update metadata in your local database without manual intervention.

Build resilient, multi-step voice synthesis workflows using Mastra AI to manage generation pipelines.

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

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

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Multi-Step Voice Generation Workflows

Audio generation can fail due to rate limits or network hiccups. Mastra AI uses its built-in engine to execute `create_tts_job` and automatically retry the request if the external API is temporarily busy. Once the job is queued, the workflow transitions to a polling state that calls `get_tts_job`. If the generation fails or times out, Mastra can route the task to a fallback voice profile to keep your system online.

Automated Speaker Matching and Validation

Your agents can dynamically choose the right voice based on the context of the conversation. By calling `list_voices`, your agent inspects the entire directory of available speakers to find the best match. Before starting a synthesis run, the agent uses `get_speaker` to verify that the selected voice supports the required language and tone. This prevents runtime errors caused by passing invalid voice IDs.

Human-in-the-Loop Voice Approval via Mastra AI

You might want to review synthesized audio before it goes live to customers. This MCP Server integrates with Mastra's approval system, pausing the workflow after `create_tts_job` is submitted. The system waits for a human administrator to listen to the track retrieved by `get_tts_job`. Once approved, the workflow resumes and pushes the audio directly to your production distribution channel.

Setup guide

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

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Lovo AI (Genny TTS & Voice Synthesis API) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "lovo-ai-genny-tts-voice-synthesis-api-mcp-client",
  servers: {
    "lovo-ai-genny-tts-voice-synthesis-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Lovo AI (Genny TTS & Voice Synthesis API) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Lovo AI (Genny TTS & Voice Synthesis API) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Lovo AI (Genny TTS & Voice Synthesis API) transactions"
);
console.log(result.text);

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 Mastra AI

Install `@mastra/mcp` and instantiate the MCP client with your Vinkius URL. Call `mcpClient.listTools()` and spread those tools directly into your Mastra agent configuration.

Yes. You can design a workflow where `create_tts_job` is the initial step, and if it fails, Mastra handles the exponential backoff automatically before polling `get_tts_job` for the finished file.

Your agent can run scheduled workflows that execute `list_voices` to cache active speakers. It can then run `get_speaker` to update metadata in your local database without manual intervention.

No. Vinkius hosts the server in a secure, serverless sandbox. Mastra connects to this MCP Server directly over HTTP, eliminating the need to manage local Docker containers or node processes.

The MCP Server acts as a stateless conduit, passing your text payloads to the generator and returning audio URLs. All data is processed in ephemeral memory, ensuring your text strings and synthesized voice files are never stored on the host.

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