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 AutoGen 10 tools — connect in under 2 minutes

Name: Routific
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Routific as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="routific_agent",
            tools=tools,
            system_message=(
                "You help users with Routific. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Routific tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Routific MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Routific automatically

Why Use AutoGen with the Routific MCP Server

AutoGen provides unique advantages when paired with Routific through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Routific tools to solve complex tasks

Role-based architecture lets you assign Routific tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Routific tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Routific tool responses in an isolated environment

Routific + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Routific MCP Server delivers measurable value.

Collaborative analysis: one agent queries Routific while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Routific, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Routific data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Routific responses in a sandboxed execution environment

Routific MCP Tools for AutoGen (10)

These 10 tools become available when you connect Routific to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Routific to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Routific + AutoGen FAQ

Common questions about integrating Routific MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Routific tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.