How to Use the CometAPI MCP in Mastra AI

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Connect CometAPI MCP to Mastra AI

Create your Vinkius account to connect CometAPI 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 CometAPI with Mastra AI

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Perplexity

Automate CometAPI tasks in Mastra AI

Wrap `create_ai_chat_completion` in your agent workflows to handle complex logic. If a request fails, Mastra handles the retry logic automatically. Your agents can now perform multi-step operations without you babysitting the process. Define the workflow and let the engine manage the execution state.

Monitor CometAPI health from Mastra AI

Add `check_api_health` as a pre-flight step in your agent pipelines. If the service reports issues, your code can branch to a backup provider immediately. Avoid silent failures by checking the status before you commit to a long-running task. It keeps your automation robust and reliable.

Transcribe audio using CometAPI tools

Integrate `transcribe_audio_to_text` into your Mastra AI agents to process user uploads. It turns raw audio files into structured text for your agents to analyze. This setup allows for hands-free documentation. Your agents take the transcript and trigger the next steps in your business logic.

Setup guide

Set up CometAPI 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 CometAPI 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: "cometapi-mcp-client",
  servers: {
    "cometapi-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "CometAPI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to CometAPI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent CometAPI transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CometAPI. 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 CometAPI MCP in Mastra AI

Initialize the client and spread the tools into your agent definition. The framework automatically detects the transport and exposes the functions.

Yes. Use the requireToolApproval setting to pause your agent before it executes any sensitive CometAPI operations.

The workflow engine supports automatic retries with exponential backoff. It's built to handle transient API hiccups without stopping your pipeline.

Pass your server URL into the MCPClient constructor. You can switch endpoints between development and production by changing your environment variable.

Your audio files are processed in the Vinkius isolated sandbox. We clear all buffers immediately after the transcription job completes, ensuring your raw data doesn't linger.

Use it with your favorite AI tools

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