How to Use the Nutrient Workflow MCP in Google ADK

Q: How do I initialize the Nutrient Workflow MCP Server within the Google ADK framework?

Install the package via pip install google-adk and configure McpToolset with your Vinkius HTTP transport URL. Pass this toolset to your LlmAgent to instantly expose the document tools.

Q: Can I restrict the agent to only read document tasks?

Yes, you can pass an optional toolnames filter to your McpToolset constructor. This limits the agent to tools like gettask and blocks execution tools like completetask.

Run enterprise-grade document automation on Google ADK to analyze, route, and sign high-volume PDFs with Gemini via this MCP Server.

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Connect Nutrient Workflow MCP to Google ADK

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Setup Nutrient Workflow with Google ADK

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Execute Document Actions with Google ADK

The `complete_task` tool transitions active document workflows to the next stage after Gemini verifies the required PDF criteria. Your enterprise agent invokes this tool to sign off on files after scanning them with long-context reasoning. You connect the toolset using `McpToolset` to expose all document capabilities to your Gemini models. This setup allows your agent to pull context from BigQuery and immediately apply it to active document approvals.

Query Real-Time Workflow and Task Statuses

The `list_requests` and `get_request` tools retrieve the current state of active document workflows across your entire tenant. Your agent calls these endpoints to monitor progress and flag stalled files. Let's be real, Gemini's 1M+ token context window easily digests these detailed JSON payloads. It maps dependencies between different document requests without hitting memory limits, giving you a clear picture of operational bottlenecks.

Manage Tenant Users and Assign Tasks

The `list_users` and `list_user_tasks` tools allow your agent to audit who is assigned to specific document reviews. The agent queries these endpoints to balance workloads and reassign urgent PDF approvals. Using this MCP Server ensures your Google Cloud infrastructure communicates directly with your document engine. It eliminates custom API integrations, letting you focus on building smarter agentic routing pipelines.

Setup guide

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

Install the package via `pip install google-adk` and configure `McpToolset` with your Vinkius HTTP transport URL. Pass this toolset to your `LlmAgent` to instantly expose the document tools.

Yes, your agent can analyze data trends in BigQuery and use the `start_request` tool to launch a PDF approval process based on those insights.

The ADK relies on the secure, single-token authentication provided by Vinkius. Your agent authenticates once, gaining safe access to all 10 document management tools over our secure MCP connection.

Yes, you can pass an optional `tool_names` filter to your `McpToolset` constructor. This limits the agent to tools like `get_task` and blocks execution tools like `complete_task`.

Your PDF files and workflow payloads are handled within secure, ephemeral sandboxes. Vinkius processes these transactions in real-time through our zero-trust MCP environment without persisting sensitive document contents on its servers.

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