Are the pickup locations visible if I list coverage endpoints openly?

No. The system protects sensitive core nodes. Also, the primary Bearer Token connecting the logistic grid behaves with absolute `sensitive: true` markings eliminating API key peeking internally or across screen sharing software.

Is it possible to estimate costs exclusively without mistakenly dispatching a live courier?

Definitely! Estimations are securely isolated using exclusively the `get_rates` endpoint. This acts as an inert sandbox fetching pure monetary quotes based on dimensions without generating 'Orders'. Live dispatch strictly requires `create_order` action flags limiting accidental triggers.

99Minutos Express MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: 99Minutos Express
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect 99Minutos Express 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 99Minutos Express "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in 99Minutos Express?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 99Minutos Express MCP Server

Connect your physical Last-Mile Logistic Console (99Minutos) to the Vurb architecture transforming Claude into a literal heavy dispatcher terminal for Same-Day delivery runs globally across LatAm.

Pydantic AI validates every 99Minutos Express tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

Live Rate Estimations — Feed two Zipcodes and retrieve instantly exactly how much it costs to call an Express or Next-Day fleet to move the goods natively.
Order Dispacthing — Write 'Call a courier delivering at XYZ' and witness the integration creating real pickup missions requesting a vehicle seamlessly.
Route Auditing — Scan active GPS hooks using get_tracking knowing where your package is residing effectively.
Zone Coverage Probe — Ensure you're mapping correctly across massive territories searching if specific bounds sit within 99Minutos active grid ranges.

The 99Minutos Express MCP Server exposes 12 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 99Minutos Express to Pydantic AI via MCP

Follow these steps to integrate the 99Minutos Express 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 12 tools from 99Minutos Express with type-safe schemas

Why Use Pydantic AI with the 99Minutos Express MCP Server

Pydantic AI provides unique advantages when paired with 99Minutos Express 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 99Minutos Express integration code

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

Dependency injection system cleanly separates your 99Minutos Express connection logic from agent behavior for testable, maintainable code

99Minutos Express + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the 99Minutos Express MCP Server delivers measurable value.

Type-safe data pipelines: query 99Minutos Express with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple 99Minutos Express tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query 99Minutos Express and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock 99Minutos Express responses and write comprehensive agent tests

99Minutos Express MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect 99Minutos Express to Pydantic AI via MCP:

cancel_order

Void an active courier run

create_order

Request a courier express delivery

create_store

create_webhook

Inject an HTTP delivery ping receptor

get_order

Get express delivery details

get_rates

Check point-to-point same-day costs

get_tracking

Pull real-time vehicle geographical statuses

list_coverage

Check LatAm ZIP code active coverage

list_orders

List active express orders

list_return_orders

Watch reverse logistics flows

list_stores

List registered physical stores/nodes

list_webhooks

Scan infrastructure active webhooks

Example Prompts for 99Minutos Express in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with 99Minutos Express immediately.

"Find out exactly how much it costs right now a Same-Day deployment taking my package picking up from 14002 ending at 16003."

"Query the grid tracking node extracting recent geographic updates pushing for order NN-7729."

"List my physical stores"

Troubleshooting 99Minutos Express MCP Server with Pydantic AI

Common issues when connecting 99Minutos Express to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

99Minutos Express + Pydantic AI FAQ

Common questions about integrating 99Minutos Express 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 99Minutos Express MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.