EyePop.ai MCP Server for Google ADKGive Google ADK instant access to 10 tools to Analyze Image, Analyze Video, Check Eyepop Status, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add EyePop.ai as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The EyePop.ai app connector for Google ADK 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
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="eyepopai_agent",
instruction=(
"You help users interact with EyePop.ai "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports EyePop.ai as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK
When Google ADK 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.
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
Connect EyePop.ai to Google ADK via MCP
Follow these steps to wire EyePop.ai into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the EyePop.ai MCP Server
Google ADK provides unique advantages when paired with EyePop.ai through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with EyePop.ai
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine EyePop.ai tools with BigQuery, Vertex AI, and Cloud Functions
EyePop.ai + Google ADK Use Cases
Practical scenarios where Google ADK combined with the EyePop.ai MCP Server delivers measurable value.
Enterprise data agents: ADK agents query EyePop.ai and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine EyePop.ai tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query EyePop.ai regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including EyePop.ai
Example Prompts for EyePop.ai in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with EyePop.ai immediately.
"List all active Pops in my EyePop.ai account."
"Show the detected objects from 'Main Security Feed' for the last hour."
"Check the processing status for Pop ID 'pop_123'."
Troubleshooting EyePop.ai MCP Server with Google ADK
Common issues when connecting EyePop.ai to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkEyePop.ai + Google ADK FAQ
Common questions about integrating EyePop.ai MCP Server with Google ADK.