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Upper Route Planner MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Check Upper Status, Create Upper Delivery Task, Get Upper Route Stop, and more

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Upper Route Planner through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Upper Route Planner app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Upper Route Planner Assistant",
            instructions=(
                "You help users interact with Upper Route Planner. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Upper Route Planner"
        )
        print(result.final_output)

asyncio.run(main())
Upper Route Planner
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Upper Route Planner MCP Server

Connect your Upper Route Planner account to any AI agent and take full control of your delivery logistics and high-fidelity route orchestration through natural conversation.

The OpenAI Agents SDK auto-discovers all 6 tools from Upper Route Planner through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Upper Route Planner, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Route Portfolio Orchestration — List all optimized delivery routes, retrieve detailed high-fidelity status metadata, and monitor route duration programmatically
  • Stop & Task Intelligence — Access your complete directory of high-fidelity route stops and tasks to stay on top of field delivery progress in real-time
  • Logistics Provisioning — Programmatically generate new high-fidelity delivery tasks with precise time windows and customer metadata directly through your agent
  • Driver Monitoring Architecture — Access high-fidelity driver assignments and resource allocation details to understand and orchestrate your field workforce
  • Stop Detail Discovery — Access complete high-fidelity metadata for specific delivery stops to maintain perfect contextual alignment for every parcel
  • Operational Monitoring — Verify account-level API connectivity and monitor route orchestration volume directly through your agent for perfectly coordinated service scaling

The Upper Route Planner MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Upper Route Planner tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Upper Route Planner through Vinkius, your AI agent gets direct access to every tool listed below — spanning route-optimization, delivery-management, fleet-tracking, 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.

check_upper_status

Check API Status

create_upper_delivery_task

Add a delivery task

get_upper_route_stop

Get specific route stop

get_upper_stop_details

Get stop details

list_upper_drivers

List delivery drivers

list_upper_routes

List delivery routes

Connect Upper Route Planner to OpenAI Agents SDK via MCP

Follow these steps to wire Upper Route Planner into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 6 tools from Upper Route Planner

Why Use OpenAI Agents SDK with the Upper Route Planner MCP Server

OpenAI Agents SDK provides unique advantages when paired with Upper Route Planner through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Upper Route Planner + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Upper Route Planner MCP Server delivers measurable value.

01

Automated workflows: build agents that query Upper Route Planner, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Upper Route Planner, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Upper Route Planner tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Upper Route Planner to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Upper Route Planner in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Upper Route Planner immediately.

01

"List all delivery routes scheduled for today."

02

"Create a new delivery task for '123 Tech St' with contact 'John Doe'."

03

"Check the status of route stop 'stop_456'."

Troubleshooting Upper Route Planner MCP Server with OpenAI Agents SDK

Common issues when connecting Upper Route Planner to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Upper Route Planner + OpenAI Agents SDK FAQ

Common questions about integrating Upper Route Planner MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.