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How to Use the HypeAuditor MCP in Mastra AI

Build resilient influencer vetting workflows in Mastra AI with automatic retries and error handling.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect HypeAuditor MCP to Mastra AI

Create your Vinkius account to connect HypeAuditor 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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Automated influencer vetting

Chain `search_influencers` and `get_influencer_report` into a Mastra agent workflow. If an API call fails due to network jitter, the framework automatically retries the operation, ensuring your campaign data stays consistent. Define clear branching logic for your vetting process. If an influencer fails your criteria, the agent skips the deep report and moves to the next candidate.

Human-in-the-loop review

Use Mastra's tool approval settings for high-value `get_influencer_report` requests. You decide which reports require a manual sign-off before the agent proceeds with the campaign. This adds a layer of safety to your automated operations. You keep control over the budget while the agent does the heavy lifting.

Reliable data lookups

Standardize your inputs using `list_categories` and `list_platforms` before running your search. This ensures your Mastra agents pass clean parameters to the HypeAuditor API every single time. Consistency prevents runtime errors in your pipelines. By validating inputs, you keep your workflows running without constant manual intervention.

Setup guide

Set up HypeAuditor 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All HypeAuditor tools become native Mastra tools.

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HypeAuditor. 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.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about HypeAuditor MCP in Mastra AI

Mastra handles the execution flow, and you can check `get_rate_limit` within your workflow steps. You can set conditional logic to pause if your usage approaches the threshold.
Install the MCP client package and add the HypeAuditor server to your agent definition. It maps the tools into your agent's capability set automatically.
Yes. Use `list_reports` to keep track of generated influencer data. You can build a logging step in your workflow to record every influencer check.
The connection uses an ephemeral sandbox. HypeAuditor data is processed in memory during your workflow execution and then cleared. Your credentials remain in your secure environment.
Your workflow logic handles the error. You can define a fallback path to alert your team or discard the influencer profile if the report data is incomplete.

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