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Hive AI MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Hive AI through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "hive-ai": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Hive AI Agent",
    instructions:
      "You help users interact with Hive AI " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Hive AI?"
  );
  console.log(result.text);
}

main();
Hive AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Hive AI MCP Server

Connect your Hive AI moderation account to any AI agent and take full control of your content safety and compliance workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Hive AI tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Real-time Moderation — Perform synchronous moderation for text and images to filter hate speech, violence, and NSFW content instantly.
  • AI Content Detection — Identify if text, images, or audio were created using generative AI models like GPT-4, Midjourney, or DALL-E.
  • Asynchronous Processing — Submits large video and audio files for deep moderation and speech-to-text analysis.
  • Task Monitoring — Track the status and retrieve results for background moderation tasks using unique task IDs.
  • Model Insights — List available Hive AI models and retrieve project-specific configurations for both visual and text projects.
  • Compliance Oversight — Access detailed moderation scores and classes to ensure your platform remains safe and professional.

The Hive AI MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Hive AI to Mastra AI via MCP

Follow these steps to integrate the Hive AI MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Hive AI via MCP

Why Use Mastra AI with the Hive AI MCP Server

Mastra AI provides unique advantages when paired with Hive AI through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Hive AI without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Hive AI tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Hive AI + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Hive AI MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Hive AI, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Hive AI as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Hive AI on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Hive AI tools alongside other MCP servers

Hive AI MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Hive AI to Mastra AI via MCP:

01

detect_ai_generated_image

Identify if an image was created using generative AI (e.g., Midjourney, DALL-E)

02

detect_ai_generated_text

Detect if a block of text was generated by an AI model (e.g., GPT-4)

03

get_async_task_result

Retrieve the final moderation results for a completed task

04

get_async_task_status

Use the task ID returned when the task was created. Check the status of an asynchronous moderation task

05

get_project_details

Retrieve information and configuration for your Hive AI project

06

list_available_models

List all Hive AI models available for your project

07

moderate_audio_async

Returns a task ID. Start an asynchronous moderation task for an audio file

08

moderate_image

Provide a publicly accessible URL. Perform real-time image moderation using a URL

09

moderate_text

Use this to verify user-generated content before publication. Perform real-time text moderation for safety and compliance

10

moderate_video_async

Returns a task ID for later status checking. Start an asynchronous moderation task for a video file

Example Prompts for Hive AI in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Hive AI immediately.

01

"Moderate this text for safety: 'I will destroy everything you love.'"

02

"Check if this image was created by AI: 'https://example.com/art.jpg'."

03

"Start a moderation task for this video: 'https://example.com/upload.mp4'."

Troubleshooting Hive AI MCP Server with Mastra AI

Common issues when connecting Hive AI to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Hive AI + Mastra AI FAQ

Common questions about integrating Hive AI MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Hive AI to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.