EyePop.ai Connector for AI agents.
5 live capabilities
Manage real-time computer vision and object detection data with natural language.
Waiting for input…
Why people use EyePop.ai
EyePop.ai for Security and Retail Video Monitoring
With this Connector, you can just ask your agent what is happening. It queries your account, pulls the detection metadata, and gives you a summary. You go from watching a screen to getting a report in seconds.
What Vinkius changes
You get a way to talk to your computer vision data using plain English.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Security Alert Summaries
A security manager asks the agent to summarize detections from the last hour.
- Real-world use case 02
Retail Foot Traffic Analysis
A retail analyst wants to know how many people entered a store.
- Real-world use case 03
Model Portfolio Audit
A developer needs to see which models are active.
Complete set · 5capabilities
The complete EyePop.ai capability set.
These are the exact actions your AI can choose when you ask it to work with EyePop.ai.
01—03
3 capabilities in this set.
Part of 5 available through EyePop.ai.
- 01 Capability
Analyze image
Analyze an image to get labels and bounding boxes. This provides the exact location of objects in a still shot.
- 02 Capability
Get pop config
Get pipeline configuration
- 03 Capability
List pops
List all visual pipelines to see your active streams. It is great for managing multiple monitoring points at once.
04—05
2 capabilities in this set.
Part of 5 available through EyePop.ai.
- 04 Capability
Analyze video
Analyze a video to get temporal object detection results. This helps you see what happened in a clip over a specific timeframe.
- 05 Capability
Create pop
Create a visual pipeline for your media streams. This is the first step to getting live data into your agent.
Set up in minutes
One URL. Then ask EyePop.ai to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use EyePop.ai from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_cGrHSw5koZ6157myj6LuxsjlFf5P2wK2JZdQoPtm/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it EyePop.ai, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable EyePop.ai for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_cGrHSw5koZ6157myj6LuxsjlFf5P2wK2JZdQoPtm/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the EyePop.ai URL.
- Step 03
Save and start
Save the connection and enable EyePop.ai in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"eyepopai": {
"url": "https://edge.vinkius.com/vk_preview_cGrHSw5koZ6157myj6LuxsjlFf5P2wK2JZdQoPtm/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using EyePop.ai
Open Agent mode in chat and ask: "Using EyePop.ai, help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"eyepopai": {
"url": "https://edge.vinkius.com/vk_preview_cGrHSw5koZ6157myj6LuxsjlFf5P2wK2JZdQoPtm/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using EyePop.ai
Ask Copilot: "Using EyePop.ai, help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"eyepopai": {
"url": "https://edge.vinkius.com/vk_preview_cGrHSw5koZ6157myj6LuxsjlFf5P2wK2JZdQoPtm/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using EyePop.ai
Open Cascade and ask: "Using EyePop.ai, help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"eyepopai": {
"url": "https://edge.vinkius.com/vk_preview_cGrHSw5koZ6157myj6LuxsjlFf5P2wK2JZdQoPtm/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using EyePop.ai
Ask Cline: "Using EyePop.ai, help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add eyepopai --transport http "https://edge.vinkius.com/vk_preview_cGrHSw5koZ6157myj6LuxsjlFf5P2wK2JZdQoPtm/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using EyePop.ai
Ask Claude: "Using EyePop.ai, show me...". 5 tools are ready
Where the request belongs
Work EyePop.ai can move forward.
This is for security professionals and retail managers who are drowning in video data and need a way to filter out the noise to find actionable information.
Security & Ops Manager
Checks live feeds for specific alerts and pulls detection summaries to verify incidents without watching every minute of footage.
Retail Analyst
Tracks foot traffic and customer behavior by querying metadata on detected people and objects in a store environment.
Developer
Integrates vision data into custom alerting capabilities by querying the Connector for real-time object coordinates and confidence scores.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Face++ / Megvii
Leading facial recognition and computer vision platform. detect faces, compare identities, and analyze body gestures via AI.
NVIDIA Vision
Generate images, analyze visuals, detect objects, and caption images via NVIDIA Vision APIs.
Hugging Face Vision
Connect Hugging Face Vision to any AI agent via MCP.
Roboflow
Manage computer vision workflows. upload images, train models, and manage datasets directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep EyePop.ai connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about EyePop.ai.
The practical details behind the request, access and result.
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 capability 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 capability to retrieve your complete directory along with the unique identifiers for all managed visual pipelines.
One connection away
Give your agent a direct line to EyePop.ai.
Connect EyePop.ai once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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