How to Use the zipperHQ MCP in Google ADK

Q: How does zipperHQ integrate video data into my Google ADK workflow?

The agent uses the MCP Server to execute tools like listcontacts. This pulls contact lists that can then be written directly into BigQuery for deep, long-context analysis with Gemini models.

Q: Can I check API connectivity with zipperHQ using the Google ADK?

Yes. You can run checkzipperstatus first. This verifies that the MCP Server connection is stable before your agent attempts any complex data operations.

Q: How do I list all my screen recordings using zipperHQ and the Google ADK?

Your agent calls listrecordings. This retrieves an organized list of every recorded session, allowing you to build a full history dataset in BigQuery.

Connect video communications and contacts to enterprise data with the Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect zipperHQ MCP to Google ADK

Create your Vinkius account to connect zipperHQ to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup zipperHQ with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Deep Video Analytics

The `get_video_analytics` tool fetches deep performance metrics for specific videos. Because you're using BigQuery, your agent can immediately pipe these numbers into existing data models. You also get general details on any video content by calling `get_video`, which gives the necessary inputs for complex analysis.

Contact and Relationship Mapping

To map out who you talk to, run `list_contacts`. This function provides a list of all your video recipients. You can then cross-reference that data with BigQuery tables containing CRM information. Need specific view counts? The agent uses `get_contact_views` to pull the exact numbers for any given contact.

Comprehensive Content Management

If you need a full history, `list_videos` pulls all video emails. This lets your Gemini-powered agent review communication records over time. For quick checks, the `search_videos` tool lets you query content by keyword, narrowing down millions of videos to just what matters.

Setup guide

Set up zipperHQ MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with zipperHQ tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="zipperHQ_agent",
    model="gemini-2.0-flash",
    instruction="You have access to zipperHQ tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by zipperHQ. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect zipperHQ now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about zipperHQ MCP in Google ADK

The agent uses the MCP Server to execute tools like `list_contacts`. This pulls contact lists that can then be written directly into BigQuery for deep, long-context analysis with Gemini models.

This MCP Server deals with video communication data: contacts (`list_contacts`), video analytics, and recordings. All this information is structured to flow into your Google Cloud infrastructure.

Yes. You can run `check_zipper_status` first. This verifies that the MCP Server connection is stable before your agent attempts any complex data operations.

The integration supports native BigQuery connectivity, meaning you're working within a trusted Google Cloud environment. The security is built into the platform layer itself.

Your agent calls `list_recordings`. This retrieves an organized list of every recorded session, allowing you to build a full history dataset in BigQuery.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript