3,400+ MCP servers ready to use
Vinkius

EyePop.ai MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Analyze Image, Analyze Video, Check Eyepop Status, and more

Built by Vinkius GDPR 10 Tools SDK

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

Ask AI about this App Connector for Mastra AI

The EyePop.ai app connector for Mastra AI is a standout in the Image Video category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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: {
      "eyepopai": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

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

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

main();
EyePop.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 EyePop.ai MCP Server

Connect your EyePop.ai account to any AI agent and take full control of your real-time computer vision orchestration and automated visual intelligence through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and EyePop.ai tool infrastructure. Connect 10 tools through 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

  • Visual Analysis Orchestration — List and manage your entire portfolio of visual models (Pops) programmatically, retrieving detailed detection metadata
  • Media Stream Intelligence — Programmatically trigger and monitor real-time media stream processing to maintain a perfectly coordinated visual knowledge pipeline
  • Object Detection Architecture Monitoring — Access real-time status updates for detected objects and track confidence scores directly through your agent
  • Metadata Management — Programmatically retrieve bounding box coordinates and classification IDs to maintain a perfectly coordinated data record
  • Operational Monitoring — Verify account-level API connectivity and monitor visual processing volume directly through your agent for perfectly coordinated service scaling

The EyePop.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.

All 10 EyePop.ai tools available for Mastra AI

When Mastra AI connects to EyePop.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning computer-vision, object-detection, face-recognition, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

analyze_image

Returns detected objects, labels, and bounding boxes. Analyze an image

analyze_video

Returns temporal object detection results. Analyze a video

check_eyepop_status

Verify EyePop API connectivity

create_pop

Create a visual pipeline

get_account

Get account info

get_model

Get model details

get_pop

Get pipeline details

list_detections

List detections

list_models

List available models

list_pops

List all visual pipelines

Connect EyePop.ai to Mastra AI via MCP

Follow these steps to wire EyePop.ai into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 EyePop.ai via MCP

Why Use Mastra AI with the EyePop.ai MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add EyePop.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 EyePop.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

EyePop.ai + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed EyePop.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 EyePop.ai on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using EyePop.ai tools alongside other MCP servers

Example Prompts for EyePop.ai in Mastra AI

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

01

"List all active Pops in my EyePop.ai account."

02

"Show the detected objects from 'Main Security Feed' for the last hour."

03

"Check the processing status for Pop ID 'pop_123'."

Troubleshooting EyePop.ai MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

EyePop.ai + Mastra AI FAQ

Common questions about integrating EyePop.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.