How to Use the Upper Route Planner MCP in OpenAI Agents SDK

Q: How do I check the status of Upper Route Planner using OpenAI Agents SDK?

Call the checkupperstatus tool. It returns a simple confirmation that the MCP Server is operational and accepting requests. This confirms you can proceed with other actions.

Q: Can I list active routes using Upper Route Planner with OpenAI Agents SDK?

Yes. You simply invoke listupperroutes to retrieve the full manifest of existing delivery paths. The agent will handle iterating through those results for you.

Q: Does this MCP Server support multi-driver operations with OpenAI Agents SDK?

Absolutely. You first use listupperdrivers to pull all available personnel, then pass that list when creating a new delivery task using createupperdeliverytask.

Q: How do I retrieve details for an upper route stop using Upper Route Planner and OpenAI Agents SDK?

Use the getupperroutestop tool, passing in the necessary route identifier. This gives you specific data about one segment of the overall delivery path.

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Connect Upper Route Planner MCP to OpenAI Agents SDK

Create your Vinkius account to connect Upper Route Planner 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.

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Setup Upper Route Planner with OpenAI Agents SDK

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Scheduling Tasks with the MCP Server

You call `create_upper_delivery_task` to schedule a new delivery run. The agent handles the payload validation before sending it off, so you don't get unexpected errors. After scheduling, you can use `list_upper_routes` to view all active routes in the system. This keeps your entire fleet visible from one place.

Checking Driver Status

`check_upper_status` tells you if the Upper Route Planner API is online and ready for use. Before kicking off any complex multi-driver operation, run this first. It's a quick check that saves time. When you need to know who’s out there, `list_upper_drivers` pulls a clean list of all available drivers. You can then pass those IDs into other tools.

Finding Specific Delivery Stops

To get details on a specific location, you call `get_upper_stop_details`. This function takes an ID and returns everything about that stop—hours, coordinates, etc. It's more granular than just listing them. If you only need to know what stops are on a particular path, use `get_upper_route_stop`. You get the specific data points for that segment of the route without pulling unnecessary overhead.

Setup guide

Set up Upper Route Planner MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Upper Route Planner tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Upper Route Planner tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Upper Route Planner tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Upper Route Planner Agent",
            instructions="You have access to Upper Route Planner tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 Upper Route Planner. 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 Upper Route Planner MCP in OpenAI Agents SDK

Call the `check_upper_status` tool. It returns a simple confirmation that the MCP Server is operational and accepting requests. This confirms you can proceed with other actions.

This server works primarily with delivery tasks, route stops, and driver profiles. The agent's guardrails ensure that all data passed into these tools is correctly formatted before execution.

Yes. You simply invoke `list_upper_routes` to retrieve the full manifest of existing delivery paths. The agent will handle iterating through those results for you.

Absolutely. You first use `list_upper_drivers` to pull all available personnel, then pass that list when creating a new delivery task using `create_upper_delivery_task`.

Use the `get_upper_route_stop` tool, passing in the necessary route identifier. This gives you specific data about one segment of the overall delivery path.

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