How to Use the Freightview MCP in OpenAI Agents SDK
Build reliable logistics agents with OpenAI Agents SDK. Automate LTL quoting and tracking while keeping your freight data under control.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Freightview MCP to OpenAI Agents SDK
Create your Vinkius account to connect Freightview to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate LTL quoting in your OpenAI Agents SDK agent
Stop manual rate lookups by connecting your agent to `request_rates`. Your agent calculates costs based on your specific item catalog, pulling data directly from `list_item_catalog` to ensure the weight and class match your actual inventory. Once the agent runs `list_freight_quotes`, it compares prices across your connected carriers. You get the best rate without leaving your IDE, and the agent logs the quote metadata via `get_quote_details` for your records.
Manage carrier connections via OpenAI Agents SDK
Your agent tracks every carrier interaction using `list_connected_carriers`. It identifies which partners are active and ready for dispatch, so you never send a request to a carrier that isn't connected to your account. When you need specific details, the agent calls `get_carrier_details`. This keeps your agent informed on carrier capabilities, allowing it to filter options before it ever initiates a booking process.
Track shipments through your OpenAI Agents SDK agent
Monitor every load by giving your agent access to `get_shipment_details`. Instead of checking web portals, you ask your agent for the current status of any load in your system. If you need a full overview, the agent runs `list_shipments` to pull your active manifest. It flags delays or status changes automatically, keeping your logistics pipeline moving without manual oversight.
Set up Freightview MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Freightview tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Freightview tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Freightview tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Freightview Agent",
instructions="You have access to Freightview tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
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Common questions about Freightview MCP in OpenAI Agents SDK
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