How to Use the Factored Quality MCP in Google ADK
Connect Factored Quality to Google ADK to bring supply chain data into your Gemini-powered agent architecture.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Factored Quality MCP to Google ADK
Create your Vinkius account to connect Factored Quality 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.
Manage supplier records with Google ADK
Your agent uses `list_suppliers` to map your entire network. It then calls `get_supplier` to pull contact and compliance history for specific vendors. This keeps your agent's context window focused on relevant data. It turns scattered vendor info into a searchable index for your agent.
Track inspection status using Google ADK
Query `list_inspections` to monitor ongoing QC tasks. The agent gets the full report details via `get_inspection` when it needs to confirm a status. You avoid manual lookups by letting the agent process the queue. It flags anomalies instantly, keeping your workflow centered on exceptions.
Integrate booking workflows into Google ADK
Use `list_bookings` to see upcoming QC visits. Your agent can then use `create_booking` to schedule new services based on your production timeline. Everything happens within your Google Cloud agent environment. It links your scheduling logic directly to the Factored Quality backend.
Set up Factored Quality MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Factored Quality tools in your ADK agent.
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="Factored Quality_agent",
model="gemini-2.0-flash",
instruction="You have access to Factored Quality tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Factored Quality. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Factored Quality MCP in Google ADK
Use it with your favorite AI tools
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Start using the Factored Quality MCP today
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