How to Use the Uploadcare MCP in Google ADK
Act on media assets with your Google ADK agent.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Uploadcare 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 Uploadcare 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="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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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60%
lower AI costs
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place for every integration
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Common questions about Uploadcare MCP in Google ADK
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