How to Use the Gumlet MCP in Google ADK

Q: Can I restrict which Gumlet tools Google ADK can access?

Yes. You can use the optional toolnames filter in the toolset configuration to expose only specific tools, like getvideoanalytics or listvideos, to your agent.

Q: How does the agent retrieve performance metrics?

The agent calls getvideoanalytics to fetch playback metrics. It can then use Gemini's reasoning capabilities to summarize viewing trends or identify delivery issues.

Feed real-time Gumlet video analytics and image metrics directly into Gemini models using Google ADK.

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Connect Gumlet MCP to Google ADK

Create your Vinkius account to connect Gumlet 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 Gumlet with Google ADK

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Inject media metadata into Google ADK

Gemini models excel at processing massive contexts. By connecting this MCP Server to Google ADK, your agent can load entire catalogs of video files and image configurations directly into its reasoning window. The agent calls `list_videos` and `list_image_sources` to map out your media assets. It can then analyze this asset list alongside your BigQuery data to find gaps in your CDN distribution.

Automate webhook monitoring with Gemini

Keep your cloud architecture in sync with video processing events. Your agent can query your active webhooks using `list_webhooks` to verify that status notifications are correctly routed. If a webhook fails, your agent can check the profile details via `get_account_info` to verify permissions. This keeps your external notification pipelines healthy without manual debugging.

Manage video collections via MCP Server

Let your enterprise agents organize your media library. The agent can group assets by calling `create_collection` and inspect existing structures with `list_video_collections`. When users upload new content, the agent triggers `create_video_upload` to place files into the correct folder. It keeps your CDN-delivered assets organized without human intervention.

Setup guide

Set up Gumlet 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 Gumlet 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="Gumlet_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Gumlet tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Gumlet MCP in Google ADK

Import McpToolset and pass the server connection parameters. Then, pass the toolset into your LlmAgent tools array so your Gemini models can access the media endpoints.

Yes. You can use the optional tool_names filter in the toolset configuration to expose only specific tools, like `get_video_analytics` or `list_videos`, to your agent.

Yes. You can connect your agent to the server using either transport method, allowing you to run the integration locally during development or host it on Google Cloud.

The agent calls `get_video_analytics` to fetch playback metrics. It can then use Gemini's reasoning capabilities to summarize viewing trends or identify delivery issues.

All API requests run through secure, ephemeral V8 isolates. Your video metadata, webhook configurations, and API keys are never stored, ensuring complete compliance with enterprise security standards.

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