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How to Use the Transloadit MCP in Google ADK

Build enterprise media workflows with Google ADK. Run Transloadit’s file processing power on BigQuery and Vertex AI.

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Google ADK

Connect Transloadit MCP to Google ADK

Create your Vinkius account to connect Transloadit 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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Orchestrating File Pipelines

Need to run a complex, multi-step process—like video encoding or image resizing? Your agent calls `create_assembly` with the required steps JSON. This allows your Google ADK system to manage media workflows end-to-end, acting as a powerful backend service. The entire pipeline's status and final results are accessible using `get_assembly_details`. It gives you deep visibility into every single step that was executed.

Template Definition and Storage

Don't hardcode workflows. Use the Google ADK to call `create_processing_template` to save reusable JSON blueprints for your media processes. This structure is key: it lets you separate the 'what' (the template) from the 'when' (the assembly). The tool `list_templates` helps you view all saved templates, and if a template is obsolete, you can remove it permanently with `delete_template`.

Performance Auditing

Keep track of what your agents are costing. The `get_billing_usage` tool requires only the YYYY-MM format and returns detailed file processing usage and costs for that month. This is critical for production deployments. Want to see a job's history? Call `list_assemblies`. If you need to retry an old, successful run, use `replay_assembly`.

Setup guide

Set up Transloadit 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 Transloadit 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="Transloadit_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Transloadit 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 Transloadit. 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 Transloadit MCP in Google ADK

You pass the MCP Toolset object into your LlmAgent. This lets your Gemini-powered agent discover and use all of Transloadit's tools, allowing it to manage media tasks directly within the Google Cloud ecosystem.
Define your process first by calling `create_processing_template`. This establishes a stable, reusable blueprint. Then, let your agent kick off that logic via `create_assembly` when needed.
Yes, you use `list_assemblies` to see recent runs. For details on a specific job ID, call `get_assembly_details`. This gives you the full status and output of that assembly.
Use the `get_billing_usage` function. Just input the YYYY-MM month, and you get a clear report on all file processing usage and costs incurred.
This server processes financial metrics related to file processing. The `get_billing_usage` tool reports on your monthly billing usage, specifically detailing costs and consumption.

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