# EyePop.ai MCP for AI Agents AI Agent Connect

> EyePop.ai lets you connect your computer vision data to your AI agent. It handles object detection, face recognition, and image classification across your media streams. Instead of manually checking video frames, your agent can pull real-time metadata, monitor detection confidence, and manage your entire portfolio of visual models.

## Overview
- **Category:** image-video
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_cGrHSw5koZ6157myj6LuxsjlFf5P2wK2JZdQoPtm/ai-agent-connect
- **Tags:** computer-vision, object-detection, face-recognition, visual-intelligence, media-streams, api-integration

## Description

Connect your account to your AI agent to take full control of real-time computer vision and automated visual intelligence. If you are managing security feeds or retail monitoring, you are likely tired of staring at dozens of screens to catch a single event. This Connector changes that by letting your agent act as your primary visual coordinator. You can ask your agent to check for specific objects in a live stream, pull out the exact coordinates of where things are moving, or summarize what happened in a video clip over the last hour. It handles the heavy lifting of visual intelligence so you can focus on the actual results. By adding this to your toolkit on Vinkius, you turn your AI into a dedicated coordinator that understands your visual data. It is about moving from watching video to getting actionable data. Your agent handles the metadata, the confidence scores, and the stream monitoring, giving you a clear picture of what is actually happening without the manual grind. You can manage your entire portfolio of visual models and retrieve detailed detection metadata through natural conversation.

## Tools

### analyze_image
Analyze an image to get labels and bounding boxes. This provides the exact location of objects in a still shot.

### get_pop_config
Get pipeline configuration

### list_pops
List all visual pipelines to see your active streams. It is great for managing multiple monitoring points at once.

### analyze_video
Analyze a video to get temporal object detection results. This helps you see what happened in a clip over a specific timeframe.

### create_pop
Create a visual pipeline for your media streams. This is the first step to getting live data into your agent.

## Prompt Examples

**Prompt:** 
```
How many people were in the lobby last hour?
```

**Response:** 
```
I've analyzed the lobby feed for the last hour. Here is the summary:

| Object Type | Count | Avg. Confidence |
| :--- | :--- | :--- |
| **Persons** | 42 | 98% |
| **Groups** | 12 | 91% |

I also detected 3 'Large Bags' left in the area. Would you like me to pull the specific coordinates for those?
```

**Prompt:** 
```
Is my security feed still running?
```

**Response:** 
```
I've checked the system status for you:

* **Status:** RUNNING
* **Processing Speed:** 30 FPS
* **API Connection:** Healthy

Everything looks good. The feed is active and processing normally.
```

**Prompt:** 
```
What objects can my current models see?
```

**Response:** 
```
Your current model portfolio includes:

* **Face Recognition:** Identifies individuals and provides labels.
* **Object Detection:** Detects 'Persons', 'Vehicles', 'Bags', and 'Tools'.
* **Traffic Analysis:** Optimized for counting and tracking movement in retail spaces.
```

## Capabilities

### Analyze video for objects
Your agent can scan video files to identify objects and provide a timeline of detections.

### Create visual pipelines
Set up new streams for real-time analysis using natural language commands.

### Check API connectivity
Verify that your vision system is online and responding correctly.

### Fetch model details
Get specific technical information about the models in your portfolio.

### List all active detections
Get a quick summary of every object the system currently sees in a stream.

### Retrieve image metadata
Get bounding box coordinates and labels for objects in still images.

## Use Cases

### Security Alert Summaries
A security manager asks the agent to summarize detections from the last hour. The agent uses list_detections to count people and vehicles.

### Retail Foot Traffic Analysis
A retail analyst wants to know how many people entered a store. The agent pulls metadata from analyze_video to provide a count.

### Model Portfolio Audit
A developer needs to see which models are active. They ask the agent to list_models to verify the current setup.

### Live Stream Status Checks
An ops manager wants to know if a specific feed is still processing. The agent uses get_pop to check the current status and FPS.

## Benefits

- Stop manually watching video feeds by using list_detections to get instant summaries of what is happening.
- Get precise data on foot traffic with analyze_image returning bounding boxes and labels for every person.
- Manage complex visual workflows easily by using list_pops to see all your active pipelines in one place.
- Monitor your system health in real-time using check_eyepop_status to ensure your API is always live.
- Quickly deploy new detection logic by using create_pop to build custom visual pipelines for new projects.

## How It Works

The bottom line is you get a way to talk to your computer vision data using plain English.

1. Subscribe to this Connector and grab your API key from your dashboard.
2. Connect your key to your preferred AI client.
3. Ask your agent to list your models or analyze a specific stream.

## Frequently Asked Questions

**Can EyePop.ai MCP help with retail foot traffic?**
Yes, it pulls metadata on people and objects so you can track movement and count visitors without manual logging.

**Does EyePop.ai MCP work with live video?**
It connects to your media streams to provide real-time detection results and status updates for your AI agent.

**How do I see what my AI agent sees?**
Your agent can list detections and provide specific coordinates for objects in your visual pipelines through natural conversation.

**Can EyePop.ai MCP check if my vision system is online?**
You can ask your agent to verify your API connectivity and processing volume instantly to ensure everything is running correctly.

**Does EyePop.ai MCP support face recognition?**
Yes, it supports face recognition and provides the metadata needed to identify individuals in your streams.

**How do I find my EyePop.ai API Key?**
Log in to your account, click on your profile, and copy your unique **API Key** from the developer section.

**Can I check object detection results via AI?**
Yes! The `list_detections` tool allows your agent to retrieve metadata including object classes and confidence scores for any media stream.

**How do I list my active Pops?**
Use the `list_pops` tool to retrieve your complete directory along with the unique identifiers for all managed visual pipelines.