3,400+ MCP servers ready to use
Vinkius

Bring Computer Vision
to VS Code Copilot

Learn how to connect EyePop.ai to VS Code Copilot and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Analyze ImageAnalyze VideoCheck Eyepop StatusCreate PopGet AccountGet ModelGet PopList DetectionsList ModelsList Pops

What is the 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.

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

How it works

1. Subscribe to this server
2. Retrieve your API Key from your EyePop.ai dashboard (Profile > API Keys)
3. Start orchestrating your visual intelligence from Claude, Cursor, or any MCP client

No more manual reviewing of video frames or missing critical object detections. Your AI acts as your dedicated visual coordinator and computer vision architect.

Who is this for?

  • Security & Ops Managers — instantly retrieve detection summaries and monitor visual alerts using natural language commands
  • Retail Analysts — verify individual foot traffic metadata and track customer behavior without leaving your creative workspace
  • Developers — integrate high-speed EyePop.ai vision data into custom monitoring and alerting tools through simple AI queries

Built-in capabilities (10)

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

Why VS Code Copilot?

GitHub Copilot Agent mode brings EyePop.ai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

  • VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

  • Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

  • Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

  • GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

EyePop.ai in VS Code Copilot

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

EyePop.ai and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect EyePop.ai to VS Code Copilot through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for EyePop.ai in VS Code Copilot

The EyePop.ai 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in VS Code Copilot only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures EyePop.ai for VS Code Copilot

Every tool call from VS Code Copilot to the EyePop.ai MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

05

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

06

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

07

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

08

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.