Bring Computer Vision
to Mastra AI
Learn how to connect EyePop.ai to Mastra AI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
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)
Returns detected objects, labels, and bounding boxes. Analyze an image
Returns temporal object detection results. Analyze a video
Verify EyePop API connectivity
Create a visual pipeline
Get account info
Get model details
Get pipeline details
List detections
List available models
List all visual pipelines
Why Mastra AI?
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.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add EyePop.ai without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every EyePop.ai tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
EyePop.ai in Mastra AI
EyePop.ai and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect EyePop.ai to Mastra AI 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for EyePop.ai in Mastra AI
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 Mastra AI 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.

* 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
How Vinkius secures
EyePop.ai for Mastra AI
Every tool call from Mastra AI to the EyePop.ai MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
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.
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.
createMCPClient not exported
Install: npm install @mastra/mcp
