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How to Use the Uploadcare MCP in Google ADK

Act on media assets with your Google ADK agent.

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Google ADK

Connect Uploadcare MCP to Google ADK

Create your Vinkius account to connect Uploadcare 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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Managing Media Assets

The `store_file` tool marks a temporary file as permanently stored within Uploadcare. This is the key action when an upload process finishes and the data needs to be kept long-term. You can also use `batch_store_files` to mark multiple files for permanent storage in a single, efficient operation.

Systematic File Listing

To see what's available, the `list_files` tool provides a paginated list of all files stored in your Uploadcare project. This ensures your agent never misses an asset. When you need to check collections rather than individual assets, `list_file_groups` shows every immutable file group defined in the project.

Deep Metadata Access

The `get_file_details` tool retrieves granular technical metadata for a single Uploadcare file. This is useful when your agent needs to inspect specific dimensions or formats. For broader context, `get_group_details` gives comprehensive information about an entire file group.

Setup guide

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

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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 Uploadcare MCP in Google ADK

Your agent uses tools like `get_project_info` to retrieve metadata and usage statistics. This allows your system to understand the scale of the media infrastructure it's acting on.
Yes, you can use `batch_delete_files` for mass removal. Just remember this process is irreversible, so double-check your inputs first.
The server handles file metadata, group structure information, and project usage statistics. Specifically, it manages technical metadata retrieved by `get_file_details`.
It does. The `list_files` tool supports pagination via a limit parameter, letting your agent cycle through every file stored in the project.
Use `get_group_details` to get specifics on a single group. If you just want an index of all available collections, call `list_file_groups`.

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