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 LangChain 12 tools — connect in under 2 minutes

Name: 99Minutos Express
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect 99Minutos Express through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "99minutos-express": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using 99Minutos Express, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with 99Minutos Express through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the 99Minutos Express MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from 99Minutos Express via MCP

Why Use LangChain with the 99Minutos Express MCP Server

LangChain provides unique advantages when paired with 99Minutos Express through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine 99Minutos Express MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across 99Minutos Express queries for multi-turn workflows

99Minutos Express + LangChain Use Cases

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

RAG with live data: combine 99Minutos Express tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query 99Minutos Express, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain 99Minutos Express tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every 99Minutos Express tool call, measure latency, and optimize your agent's performance

99Minutos Express MCP Tools for LangChain (12)

These 12 tools become available when you connect 99Minutos Express to LangChain 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 LangChain

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

99Minutos Express + LangChain FAQ

Common questions about integrating 99Minutos Express MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.