How to Use the Freightview MCP in Google ADK
Connect Google ADK agents to your supply chain. Get real-time freight rates and shipment status directly inside your Gemini workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Freightview MCP to Google ADK
Create your Vinkius account to connect Freightview 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.
Get real-time freight rates in Google ADK
Your agent uses `request_rates` to pull current pricing for your LTL shipments. By referencing your `list_item_catalog`, it ensures that every quote request uses accurate freight classes and dimensions. After the agent receives quotes, it calls `list_freight_quotes` to aggregate the options. It then selects the carrier based on the metadata retrieved through `get_quote_details`.
Track freight status using Google ADK tools
Keep your dashboard updated by calling `get_shipment_details`. Your agent retrieves the latest tracking info for any shipment, allowing you to react to delays immediately. Use `list_shipments` to pull a summary of your entire logistics operation. Your agent organizes this data for your team, providing a clear view of where your goods are in transit.
Sync your address book with Google ADK
Your agent pulls accurate delivery locations using `list_address_book`. It avoids address errors by verifying every destination against your saved records before requesting rates. This keeps your logistics data clean. The agent ensures every quote request uses the correct origin and destination, preventing costly re-billing penalties later.
Set up Freightview 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 Freightview 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="Freightview_agent",
model="gemini-2.0-flash",
instruction="You have access to Freightview 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 Freightview. 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
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Real-time monitoring
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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
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Single dashboard
One
place for every integration
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Common questions about Freightview MCP in Google ADK
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