How to Use the ImageKit (Media Optimization & DAM) MCP in Google ADK

Q: Can Google ADK read custom asset metadata from ImageKit (Media Optimization & DAM)?

Yes. The agent uses listcustomfields to inspect the structure of your custom metadata. It can then write new values using patchfiledetails to update your media tags.

Q: How does the ImageKit (Media Optimization & DAM) MCP Server handle EXIF data in Google ADK?

The server provides the getexifmetadata tool, which Gemini calls to inspect technical image properties. This lets your agent make decisions based on real file properties.

Q: How do I clean up stale files in bulk?

Your agent calls wipebatchassets to remove obsolete files from your media library. This tool runs validation checks before executing disk removals.

Run enterprise-grade image optimization pipelines using Google ADK and this MCP Server with Gemini reasoning.

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Connect ImageKit (Media Optimization & DAM) MCP to Google ADK

Create your Vinkius account to connect ImageKit (Media Optimization & DAM) 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 ImageKit (Media Optimization & DAM) with Google ADK

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Enterprise CDN Purging with Google ADK

Clearing edge cache instantly is handled by the `purge_cdn_cache` tool. Large-scale web applications cannot afford stale assets when your Google ADK agent processes updates. To keep your pipeline running smoothly, the agent uses `get_purge_status` to track invalidation queues. This keeps your Gemini models updated with actual CDN states.

Metadata Audits with this ImageKit MCP Server

Extracting camera metadata directly is done via the `get_exif_metadata` tool. Gemini models require rich context to analyze media structures. Your pipeline can run `list_media_files` to find files that need attention. Once found, the agent uses `get_file_details` to collect specific cloud logs and trace payload IDs for deeper analysis.

Safe Asset Deletion and Storage Cleanup

Cleaning up stale media in bulk is managed by the `wipe_batch_assets` tool. Keeping your cloud storage lean requires regular cleanup of unused assets. For precision removals, the agent triggers `wipe_media_asset` to vaporize specific files. This keeps your ImageKit storage clean without manual developer intervention.

Setup guide

Set up ImageKit (Media Optimization & DAM) 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 ImageKit (Media Optimization & DAM) 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="ImageKit (Media Optimization & DAM)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ImageKit (Media Optimization & DAM) 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 ImageKit. 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 ImageKit (Media Optimization & DAM) MCP in Google ADK

You register the MCP toolset in your Python code, allowing Gemini to call `purge_cdn_cache` whenever an asset is modified. The agent can then track the purge progress with `get_purge_status`.

Yes. The agent uses `list_custom_fields` to inspect the structure of your custom metadata. It can then write new values using `patch_file_details` to update your media tags.

The server provides the `get_exif_metadata` tool, which Gemini calls to inspect technical image properties. This lets your agent make decisions based on real file properties.

Your agent calls `wipe_batch_assets` to remove obsolete files from your media library. This tool runs validation checks before executing disk removals.

Yes. Your credentials and media file payloads are processed in an isolated Vinkius sandbox. We do not store your ImageKit API keys or intercept the image data passing through the server.

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