How do I get an OptimoRoute API Key?

In your OptimoRoute account, go to **Administration** > **API Key**. There you can generate and copy your unique access key.

Can I see where my drivers are right now?

Yes! Use the `get_driver_locations` tool to retrieve the real-time coordinates and status of all active vehicles in your fleet.

Does starting planning affect existing routes?

The `start_planning` tool initiates the optimization engine for the specified date. It will create or update routes based on the pending orders and driver availability for that day.

OptimoRoute MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: OptimoRoute
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OptimoRoute through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to OptimoRoute "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in OptimoRoute?"
    )
    print(result.data)

asyncio.run(main())

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* 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 OptimoRoute MCP Server

Connect your OptimoRoute account to any AI agent and take full control of your logistics and delivery operations through natural conversation.

Pydantic AI validates every OptimoRoute tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Order Management — Create, retrieve, and delete delivery orders with precise location metadata.
Route Oversight — List planned routes for any specific date to maintain visibility over your daily operations.
Real-time Tracking — Get live driver locations and stop sequences to provide accurate updates to customers.
Optimization Planning — Start and monitor route optimization tasks to ensure maximum efficiency.
Performance Analytics — Extract delivery analytics to audit your logistics performance over time.

The OptimoRoute MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 OptimoRoute to Pydantic AI via MCP

Follow these steps to integrate the OptimoRoute MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from OptimoRoute with type-safe schemas

Why Use Pydantic AI with the OptimoRoute MCP Server

Pydantic AI provides unique advantages when paired with OptimoRoute through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OptimoRoute integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your OptimoRoute connection logic from agent behavior for testable, maintainable code

OptimoRoute + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the OptimoRoute MCP Server delivers measurable value.

Type-safe data pipelines: query OptimoRoute with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple OptimoRoute tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query OptimoRoute and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock OptimoRoute responses and write comprehensive agent tests

OptimoRoute MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect OptimoRoute to Pydantic AI via MCP:

create_order

Create a new delivery order

delete_order

Delete a delivery order

get_analytics

Get delivery performance analytics

get_driver_locations

Get real-time driver locations

get_order

Get details for a specific order

get_planning_status

Check status of an optimization task

get_stop_sequence

Get stop sequence for a driver

list_drivers

List all drivers

list_routes

List routes for a specific date

start_planning

Start route optimization for a date

Example Prompts for OptimoRoute in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with OptimoRoute immediately.

"Create a new delivery order #ABC-123 for 123 Main St for tomorrow."

"Show me the real-time locations of all my drivers."

"Start route optimization for today's pending orders."

Troubleshooting OptimoRoute MCP Server with Pydantic AI

Common issues when connecting OptimoRoute to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

OptimoRoute + Pydantic AI FAQ

Common questions about integrating OptimoRoute MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your OptimoRoute MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.