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How to Use the Cloudinary MCP in Google ADK

Connect Cloudinary to your Google ADK agents for media-aware infrastructure.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Cloudinary MCP to Google ADK

Create your Vinkius account to connect Cloudinary 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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Media search for Google ADK agents

Use `search_media_library` to pull relevant images into your Gemini-powered context. Your agent parses the results to make decisions based on actual file existence. This bridges the gap between your cloud storage and your reasoning engine. You get real-time awareness of your media assets during complex workflows.

Audit Cloudinary resources with Google ADK

Run `get_media_resource_details` to grab metadata for your assets. You pass this info directly into your BigQuery data pipelines for better reporting. It removes the need for manual lookups. Your agents handle the heavy lifting while you focus on the data analysis.

Manage transformations via Google ADK

Query your current setup using `list_media_transformations`. Your agent understands exactly how your assets are modified without requiring manual documentation. This MCP server exposes your configuration as code. You update your transformation logic and let your agent verify the changes immediately.

Setup guide

Set up Cloudinary 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 Cloudinary 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="Cloudinary_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cloudinary 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 Cloudinary. 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.

Real-time monitoring

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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 Cloudinary MCP in Google ADK

It supports both Stdio and HTTP transports. You simply pass the McpToolset to your LlmAgent to start calling functions.
Yes, the tools return paginated results that your agent can process iteratively. You manage the flow of data within your long-context reasoning blocks.
You define a tool_names filter when initializing the toolset. This restricts the agent to only the specific actions you authorize.
It excels at integrating these metrics into your dashboard. Your agents monitor your quota and alert you if you approach your billing thresholds.
Vinkius manages all authentication via a single endpoint token. Your sensitive keys never touch your agent code or the Google ADK environment.

Start using the Cloudinary MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

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

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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