How to Use the EX.CO Video Experience MCP in Google ADK

Q: How do I initialize EX.CO Video Experience with Google ADK?

You use McpToolset with your Vinkius HTTP endpoint to register the tools on the MCP Server. Pass this toolset directly to your LlmAgent to let Gemini invoke the video API. This exposes all ten tools to your agent with zero manual routing.

Q: Can Gemini analyze EX.CO Video Experience performance data using Google ADK?

Yes, your agent calls quickvideoperformanceaudit to fetch raw engagement metrics. Gemini's long-context window processes this data to identify drop-off trends across thousands of videos. You don't need to build custom analytical engines.

Q: How do I limit which EX.CO Video Experience tools are exposed to Google ADK?

You can use the optional toolnames filter when configuring your McpToolset. This lets you restrict access to sensitive tools like account metadata while keeping analytics tools open. Your enterprise security policies remain fully enforced.

Connect your Google ADK enterprise agents to EX.CO Video Experience to feed real-time video performance data straight into Gemini.

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Connect EX.CO Video Experience MCP to Google ADK

Create your Vinkius account to connect EX.CO Video Experience 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.

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Setup EX.CO Video Experience with Google ADK

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Feed video metrics into Google ADK pipelines

`get_video_analytics_summary` feeds high-level performance data directly into your Gemini agent. This allows your Google ADK workflows to process video engagement stats alongside your existing BigQuery data sets. You map this tool to analyze views and play rates without writing custom data-ingestion pipelines. The agent processes the raw numbers to make context-aware decisions about content distribution.

Audit interactive components via MCP Server

`list_interactive_content` queries your active quizzes, polls, and interactive video elements. The agent cross-references these assets with `get_content_detailed_intelligence` to evaluate which interactive features drive the highest retention. This MCP Server integration lets you run deep-dive audits on your video assets using Gemini's long-context window. You can feed entire libraries of interactive metadata into the model for rapid pattern matching.

Manage playlists and distribution channels

`list_video_playlists` lists all active video groupings across your organization. Your agent pairs this with `list_video_distribution_channels` to identify which syndication channels are missing critical playlists. Automating this tracking keeps your video distribution consistent across enterprise networks. The agent flags empty channels and suggests updates based on live library data.

Setup guide

Set up EX.CO Video Experience 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 EX.CO Video Experience 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="EX.CO Video Experience_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EX.CO Video Experience tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EX.CO Video Experience. 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.

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Common questions about EX.CO Video Experience MCP in Google ADK

You use `McpToolset` with your Vinkius HTTP endpoint to register the tools on the MCP Server. Pass this toolset directly to your `LlmAgent` to let Gemini invoke the video API. This exposes all ten tools to your agent with zero manual routing.

Yes, your agent calls `quick_video_performance_audit` to fetch raw engagement metrics. Gemini's long-context window processes this data to identify drop-off trends across thousands of videos. You don't need to build custom analytical engines.

You can use the optional `tool_names` filter when configuring your `McpToolset`. This lets you restrict access to sensitive tools like account metadata while keeping analytics tools open. Your enterprise security policies remain fully enforced.

Yes, the Google ADK supports both transport layers for connecting to the MCP Server. Most enterprise deployments prefer the HTTP transport for cloud-hosted agents running on Vertex AI.

Your account metadata and API credentials are protected via Vinkius's zero-trust gateway. Every request goes through an ephemeral V8 sandbox that destroys connection tokens immediately after execution. Your raw platform metrics never touch persistent storage.

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