How to Use the Hive AI MCP in Mastra AI

Q: How do I monitor Hive AI task status within Mastra AI?

Call getasynctaskstatus in a loop or a delayed step. It returns the current state, letting your agent decide when to pull the results.

Build resilient moderation workflows in Mastra AI with Hive AI tools for automated safety and conditional logic.

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Connect Hive AI MCP to Mastra AI

Create your Vinkius account to connect Hive AI 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 Hive AI with Mastra AI

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Automated moderation pipelines for Mastra AI

Embed `moderate_text` directly into your Mastra AI agent tools. Create workflows that route content based on the moderation score returned by the server. If the tool flags a violation, trigger a secondary step to notify an admin or block the post. It turns raw moderation data into actionable agent logic.

Conditional branching with Hive AI results

Use the output from `list_available_models` to configure your Mastra AI agents. Build dynamic checks that run only when specific content types appear in your agent loop. The logic handles failures natively. If an API call hits a rate limit, the Mastra AI engine manages the retry logic automatically.

Deep media analysis for complex agents

Run `moderate_video_async` and `moderate_audio_async` as part of your Mastra AI agent steps. The agent can wait for the task status before moving to the next phase of the workflow. This keeps your multi-step operations clean. You avoid blocking the main thread while the heavy media analysis happens on the backend.

Setup guide

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

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

const result = await agent.generate(
  "List recent Hive AI 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 Hive 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 Hive AI MCP in Mastra AI

Add the server to your MCP configuration in Mastra AI. Once linked, you can call the moderation tools inside any agent step.

Yes. Mastra AI supports exponential backoff. You configure the retry policy, and the framework handles it if the API is busy.

Yes. Use the requireToolApproval setting. The agent will pause for human confirmation before running a moderation tool on sensitive user content.

Call `get_async_task_status` in a loop or a delayed step. It returns the current state, letting your agent decide when to pull the results.

Yes. Your data remains private throughout the pipeline. We process the files strictly to provide the moderation score and do not retain them.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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