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How to Use the NiftyImages MCP in Google ADK

Connect NiftyImages to your Google ADK agent to automate dynamic email content across your BigQuery data pipelines.

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Google ADK

Connect NiftyImages MCP to Google ADK

Create your Vinkius account to connect NiftyImages 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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Retrieve assets for Google ADK agents

Use `list_images` and `list_widgets` to give your agent full visibility into your library. It can then select the right asset for your personalized campaigns. This makes asset management programmatic. Your agent pulls the exact image details using `get_image` before performing any further modifications.

Update timers using agent logic

The `update_timer` tool allows your agent to adjust countdowns based on complex schedules. It keeps your email content fresh without manual intervention. Your Google ADK agent processes the timing logic and pushes the update to the platform. It ensures every email recipient sees an accurate countdown.

Manage dynamic data stores

Your agent can read and write to your stores using `list_datastore_fields` and `add_datastore_record`. This keeps your personalization data synchronized with your cloud infrastructure. It provides a direct path for the agent to update subscriber information. Deleting records with `delete_datastore_record` is just as simple.

Setup guide

Set up NiftyImages 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. 1

    Install Google ADK

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

  2. 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. 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. 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 NiftyImages 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="NiftyImages_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NiftyImages tools via MCP.",
    tools=mcp_tools,
)

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

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Real-time monitoring

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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 NiftyImages MCP in Google ADK

The MCP toolset acts as a native bridge. Your agent calls the functions directly, and the server executes them against the platform API.
Yes. Your agent can read from BigQuery and use that data to trigger `add_datastore_record` in the platform.
The framework traces all tool execution. You can review these logs to see exactly when and how your agent updated your content.
It uses an HTTP transport. Your agent connects to the endpoint provided by Vinkius whenever it needs to perform a task.
All communication is encrypted in transit. The server acts as a pass-through and never logs your sensitive subscriber information.

Start using the NiftyImages MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for NiftyImages. Just plug in your AI agents and start using Vinkius.

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