How to Use the CloudConvert MCP in Google ADK

Q: How do I connect the CloudConvert MCP Server to Google ADK?

Install the SDK using pip install google-adk. Then, initialize McpToolset with your Vinkius HTTP URL and pass it to the tools parameter of your LlmAgent.

Q: Can my Google ADK agent filter which CloudConvert file formats it converts?

Yes. Your agent can call listavailableconversionops to check supported target formats before calling createconversionjob, preventing errors in your Gemini pipeline.

Q: Does the Google ADK support both Stdio and HTTP transports for CloudConvert?

Yes. You can configure the McpToolset using StreamableHttpServerParameters for remote Vinkius hosting, or use Stdio transport if running the MCP Server locally.

Q: How do I check my API usage limits within Gemini?

Your agent can query getmycloudconvertprofile to retrieve active credit balances, allowing your pipeline to pause or alert you before hitting CloudConvert limits.

Run high-volume file conversions directly from Gemini enterprise agents using the 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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Processing BigQuery file exports with Google ADK

The `create_conversion_job` tool lets your Gemini agent take raw data exports from BigQuery and convert them into client-ready formats in seconds. Since the Google ADK integrates directly with Vertex AI, your agent can process files, convert them, and feed the output back into your enterprise data pipeline without leaving Google Cloud. This keeps your entire CloudConvert workflow within your Google Cloud perimeter. Because Gemini models support a 1M+ token context window, your Google ADK agent can analyze massive documents, decide on the target format, and execute the CloudConvert job in a single reasoning step. You avoid complex, multi-turn prompting loops that inflate your Gemini API costs.

Enterprise task monitoring via MCP Server tools

The `list_conversion_tasks` tool allows your Google ADK agent to audit complex, multi-step CloudConvert pipelines. For enterprise workflows where files undergo multiple sequential transformations, the Gemini agent can track each individual phase to ensure zero data loss. If a specific CloudConvert step stalls, the Google ADK agent uses `get_conversion_task_details` to diagnose the failure. This deep visibility is essential when your Gemini agents are responsible for processing thousands of financial or operational documents daily.

Restricting tool access in Gemini pipelines

The `list_available_conversion_ops` tool helps your Google ADK agent determine valid CloudConvert operations before executing them. To keep your enterprise agents secure, you can use the SDK's `tool_names` filter to limit the MCP toolset and expose only specific CloudConvert actions. For example, you can limit the exposed tools to only read-only actions like `list_cloudconvert_webhooks` during Google ADK auditing phases. This reduces the attack surface and prevents unauthorized CloudConvert file modifications by the Gemini agent.

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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Common questions about CloudConvert MCP in Google ADK

Install the SDK using `pip install google-adk`. Then, initialize `McpToolset` with your Vinkius HTTP URL and pass it to the `tools` parameter of your `LlmAgent`.

Yes. Your agent can call `list_available_conversion_ops` to check supported target formats before calling `create_conversion_job`, preventing errors in your Gemini pipeline.

Yes. You can configure the `McpToolset` using `StreamableHttpServerParameters` for remote Vinkius hosting, or use Stdio transport if running the MCP Server locally.

Your agent can query `get_my_cloudconvert_profile` to retrieve active credit balances, allowing your pipeline to pause or alert you before hitting CloudConvert limits.

File metadata and conversion payloads pass through a zero-trust, ephemeral V8 Isolate Sandbox on Vinkius. No data is stored permanently, maintaining strict enterprise isolation.

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