Nutrient Workflow MCP Server for Google ADKGive Google ADK instant access to 10 tools to Complete Task, Get Process, Get Request, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Nutrient Workflow as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Nutrient Workflow app connector for Google ADK is a standout in the Document Management category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="nutrient_workflow_agent",
instruction=(
"You help users interact with Nutrient Workflow "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Nutrient Workflow MCP Server
Connect your Nutrient Workflow (formerly Integrify) environment to any AI agent and streamline your enterprise automation and task management through natural conversation.
Google ADK natively supports Nutrient Workflow as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Process Control — List all published workflow processes and retrieve detailed configuration metadata
- Request Management — Start new workflow instances and track the status of active or historical requests
- Task Execution — Query pending tasks for any user and complete them programmatically with form data
- System Overview — List registered users and available reports to monitor your organizational efficiency
The Nutrient Workflow MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Nutrient Workflow tools available for Google ADK
When Google ADK connects to Nutrient Workflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, process-control, document-processing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Complete a workflow task
Get details for a specific process
Get details for a specific request
Get details for a specific task
List Nutrient Workflow processes
List available reports
List active workflow requests
List pending tasks for a user
List tenant users
Start a new workflow request
Connect Nutrient Workflow to Google ADK via MCP
Follow these steps to wire Nutrient Workflow into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Nutrient Workflow MCP Server
Google ADK provides unique advantages when paired with Nutrient Workflow through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Nutrient Workflow
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Nutrient Workflow tools with BigQuery, Vertex AI, and Cloud Functions
Nutrient Workflow + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Nutrient Workflow MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Nutrient Workflow and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Nutrient Workflow tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Nutrient Workflow regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Nutrient Workflow
Example Prompts for Nutrient Workflow in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Nutrient Workflow immediately.
"List all active workflow processes."
"Find pending tasks for user 'admin_123'."
"Start a new 'Expense Approval' request."
Troubleshooting Nutrient Workflow MCP Server with Google ADK
Common issues when connecting Nutrient Workflow to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkNutrient Workflow + Google ADK FAQ
Common questions about integrating Nutrient Workflow MCP Server with Google ADK.