Can the AI push routes dynamically to drivers' smartphones automatically?

Yes! Activating the `publish_route_to_driver` function dynamically interacts with the saas infrastructure, natively pushing an authorized manifest to the delivery team's active Routific phone apps flawlessly.

Does `solve_standalone_vrp` handle extremely large thousands of stops simultaneously efficiently?

For very large batches, use `solve_async_vrp_long` instead. It processes the request asynchronously and you can poll for results with `poll_async_solution`. The standalone solver is best for smaller, real-time requests.

Can the integration update a delivery job after it has been created?

Yes. Use `update_saas_job` to modify constraints, priorities, or delivery details on an existing job without having to delete and recreate it.

Routific MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Routific
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Routific Assistant",
            instructions=(
                "You help users interact with Routific. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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 Routific MCP Server

Connect your conversational assistant directly to Routific, a premier logistics scaling platform. This integration seamlessly turns your AI into an advanced delivery dispatcher, allowing you to build multi-stop route solutions securely, manage outstanding delivery jobs, and proactively push dispatch tasks directly to drivers' mobile apps natively in one window.

The OpenAI Agents SDK auto-discovers all 10 tools from Routific through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Routific, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Automate VRP Computations — Submit basic logistics parameters (solve_standalone_vrp) or delegate massive multi-depot configurations organically (solve_async_vrp_long) and query asynchronous status returns effortlessly (poll_async_solution).
Control Saas Delivery Jobs — Tell the AI to actively audit outstanding orders (list_platform_jobs) or create fresh delivery injections accurately handling order constraints and priorities directly into the system (create_saas_job, update_saas_job).
Assemble & Publish Timelines — Review the resulting stop-by-stop ETAs securely calculated by algorithms natively inside the interface (get_route_timeline). Once completely satisfied, simply push the finalized route natively to the targeted driver's phone with an organic command (publish_route_to_driver).

The Routific MCP Server exposes 10 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.

How to Connect Routific to OpenAI Agents SDK via MCP

Follow these steps to integrate the Routific MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 10 tools from Routific

Why Use OpenAI Agents SDK with the Routific MCP Server

OpenAI Agents SDK provides unique advantages when paired with Routific through the Model Context Protocol.

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

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

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

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

Routific + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Routific MCP Server delivers measurable value.

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

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

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

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

Routific MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Routific to OpenAI Agents SDK via MCP:

cancel_saas_job

This action is irreversible. Cancels and deletes a delivery job from the platform

create_platform_route

Creates a new route plan in the platform

create_saas_job

Provide a JSON object with order details. Creates a new delivery job in the platform

get_route_timeline

Retrieves the stop-by-stop timeline for a route

list_platform_jobs

Lists all delivery jobs in the Routific platform

poll_async_solution

Polls the status of an asynchronous VRP job

publish_route_to_driver

Publishes a route to the driver's mobile app

solve_async_vrp_long

Returns a job ID for polling. Submits a large Vehicle Routing Problem for asynchronous solving

solve_standalone_vrp

Provide a JSON object with visits, fleet, and options. Solves a standalone Vehicle Routing Problem synchronously

update_saas_job

Updates an existing delivery job

Example Prompts for Routific in OpenAI Agents SDK

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

"List all current delivery jobs pending in the platform right now."

"Generate a standalone route resolving 4 pending visits."

"Publish the finalized route to the designated driver's mobile app."

Troubleshooting Routific MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Routific + OpenAI Agents SDK FAQ

Common questions about integrating Routific MCP Server with OpenAI Agents SDK.

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.