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EyePop.ai MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Analyze Image, Analyze Video, Check Eyepop Status, and more

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect EyePop.ai through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The EyePop.ai app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="EyePop.ai Assistant",
            instructions=(
                "You help users interact with EyePop.ai. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from EyePop.ai"
        )
        print(result.final_output)

asyncio.run(main())
EyePop.ai
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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.

The OpenAI Agents SDK auto-discovers all 10 tools from EyePop.ai through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries EyePop.ai, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 10 tools from EyePop.ai

Why Use OpenAI Agents SDK with the EyePop.ai MCP Server

OpenAI Agents SDK provides unique advantages when paired with EyePop.ai through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

EyePop.ai + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the EyePop.ai MCP Server delivers measurable value.

01

Automated workflows: build agents that query EyePop.ai, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries EyePop.ai, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through EyePop.ai tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query EyePop.ai to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for EyePop.ai in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting EyePop.ai to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

EyePop.ai + OpenAI Agents SDK FAQ

Common questions about integrating EyePop.ai MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.