How to Use the CloudConvert MCP in Google ADK

Q: Can Google ADK filter which CloudConvert tools are exposed?

Yes. Use the toolnames parameter in your StreamableHttpServerParameters to restrict access to specific tools like createsimplejob or canceljob.

Q: How does Google ADK handle large file conversions with CloudConvert?

The agent triggers createsimplejob and monitors progress asynchronously. It polls gettaskstatus until the file is ready to be loaded into your Vertex AI dataset.

Q: Can my agent check conversion history?

Yes. The agent calls listjobs to retrieve the history of all conversion jobs executed under your account.

Feed converted files directly into Gemini long-context windows using Google ADK.

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Connect CloudConvert MCP to Google ADK

Create your Vinkius account to connect CloudConvert 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 CloudConvert with Google ADK

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Convert massive documents for Google ADK agents

Gemini models handle huge datasets, but they hate legacy file formats. This MCP Server lets your Google ADK agent use `create_simple_job` to turn PDFs or legacy docs into clean text before stuffing them into BigQuery. Your agent manages the entire flow. It calls `get_task_status` to wait for the conversion to finish, then reads the output directly into your Gemini 1M+ token context window.

Clean up failed pipeline tasks in Google Cloud

Avoid leaving orphaned compute jobs running. This MCP Server lets your Google ADK agent track active files using `list_tasks` and call `cancel_job` if a conversion exceeds your specified timeout. This integrates directly with Vertex AI pipelines, using `get_task` so your Google ADK agent can decide whether to route the file to Google Cloud Storage or retry the conversion.

Dynamic format routing in enterprise pipelines

Your Google ADK agent checks `list_conversion_formats` to see if a file can be processed. It maps the ingestion path using `list_import_operations` and `list_export_operations` before sending bytes to BigQuery. This prevents Google Cloud pipeline crashes, letting your ADK agent use `get_user` to verify CloudConvert account limits before throwing errors.

Setup guide

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

Install the package via pip install google-adk. Initialize McpToolset with your Vinkius HTTP URL, then pass it to your LlmAgent tools list.

Yes. Use the tool_names parameter in your StreamableHttpServerParameters to restrict access to specific tools like create_simple_job or cancel_job.

The agent triggers create_simple_job and monitors progress asynchronously. It polls get_task_status until the file is ready to be loaded into your Vertex AI dataset.

Yes. The agent calls list_jobs to retrieve the history of all conversion jobs executed under your account.

Your enterprise documents and proprietary media files are processed in isolated, zero-trust environments. Vinkius handles the endpoint token securely and immediately discards all temporary media files after the task ends.

Use it with your favorite AI tools

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