How to Use the Ziflow MCP in Google ADK

Q: How can I perform content searches using Ziflow and Google ADK?

The agent uses searchproofs to query the entire proof database. This tool allows you to filter submissions based on various criteria, making data retrieval reliable for your BigQuery models.

Q: What tools are available for webhook setup with Ziflow and Google ADK?

You can create new integrations using createwebhook or view existing ones with listwebhooks. This keeps all external data pipelines managed right through the MCP Server.

Q: Where do I find proof viewer links using Ziflow and Google ADK?

To generate a direct link for review, call getproofviewerurl. This provides a secure, specific URL that your agent can embed into reports or emails.

Q: Does the system help manage content ownership with Ziflow and Google ADK?

Yes. You use listteamusers to get a roster of all users, giving you full visibility into who has access to the proofing platform.

Q: What type of data does this MCP Server touch regarding data privacy? (Ziflow, Google ADK)

The server handles proof metadata via listintegrationproperties. This involves structured details about content submissions and the technical properties used during the review process.

Run Ziflow’s entire content review process directly within your BigQuery-backed Google ADK agent.

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Connect Ziflow MCP to Google ADK

Create your Vinkius account to connect Ziflow 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 Ziflow with Google ADK

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Execute structured proof decisions

Your agent needs to finalize a piece of content? Use `submit_decision` after gathering all necessary inputs. You can first get the current state using `get_proof`, which pulls up specific details on the submission. This flow works well when you need Gemini models to act and record an official outcome, solidifying the workflow in BigQuery.

Check user access and roles

Determine who can view or edit content by listing all users with `list_team_users`. You also get basic profile details using `get_account_info` for quick verification. This helps the agent build permissions checks into its logic, ensuring it only operates on data within defined boundaries.

Discover and list content folders

When you start a new project, you need to know where to put the files. Use `list_folders` to see all available proof directories in Ziflow. If you're looking for specific documents or projects, running a targeted search with `search_proofs` gets your agent directly to the right place.

Setup guide

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

The agent uses `search_proofs` to query the entire proof database. This tool allows you to filter submissions based on various criteria, making data retrieval reliable for your BigQuery models.

You can create new integrations using `create_webhook` or view existing ones with `list_webhooks`. This keeps all external data pipelines managed right through the MCP Server.

To generate a direct link for review, call `get_proof_viewer_url`. This provides a secure, specific URL that your agent can embed into reports or emails.

Yes. You use `list_team_users` to get a roster of all users, giving you full visibility into who has access to the proofing platform.

The server handles proof metadata via `list_integration_properties`. This involves structured details about content submissions and the technical properties used during the review process.

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