How to Use the Cloudinary MCP in Google ADK
Connect Cloudinary to your Google ADK agents for media-aware infrastructure.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Cloudinary MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Cloudinary tools in your ADK agent.
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
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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.
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Common questions about Cloudinary MCP in Google ADK
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