How to Use the EyePop.ai MCP in Mastra AI

Q: How do I secure tool usage?

Use the requireToolApproval setting in your Mastra AI configuration. This forces a human to sign off before the agent executes an EyePop.ai tool.

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Connect EyePop.ai MCP to Mastra AI

Create your Vinkius account to connect EyePop.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 EyePop.ai with Mastra AI

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Claude

Perplexity

Automate complex vision sequences

Use `create_pop` to define how your media flows through computer vision models. Mastra AI agents trigger these pipelines sequentially to handle multi-step tasks like initial detection followed by specific object classification. Failures trigger automatic retries within your agent framework. If a pipeline hangs, the workflow engine catches it, ensuring your computer vision tasks finish reliably.

Conditional vision branching

Your agents use `list_detections` to make decisions based on what the camera sees. If the model detects a specific object, the Mastra AI agent branches to a secondary tool. This logic keeps your workflows efficient. You aren't processing every frame blindly; you only execute downstream logic when the vision model returns a match.

Account-aware vision operations

Check your current usage and status using `get_account` and `check_eyepop_status` inside your agent workflow. You can build a safety gate that pauses the agent if your account credits are low. This prevents expensive API errors during critical operations. The agent checks its own constraints before running `analyze_video` on large data sets.

Setup guide

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

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

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

You instantiate the MCP client in your Mastra AI agent config. This makes the EyePop.ai tools available for your agents to call during execution.

Yes, Mastra AI handles the logic. If a tool call to EyePop.ai fails, you define the retry policy in your workflow definition.

They do. Agents use the tools to perceive the environment and take action based on visual results, perfect for building automated monitoring systems.

Use the `requireToolApproval` setting in your Mastra AI configuration. This forces a human to sign off before the agent executes an EyePop.ai tool.

Your media and detection results stay within the EyePop.ai infrastructure. The server only transmits the metadata necessary for your Mastra AI agent to make decisions.

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