How to Use the 99Minutos Express MCP in LangChain

Q: Can I check shipping costs before booking with 99Minutos Express and LangChain?

Yes. Have your agent call getrates with origin and destination ZIPs. It gets a price, and you can build logic that only proceeds with createorder if the cost is below a certain threshold.

Q: Can my LangChain agent manage webhooks for 99Minutos?

Absolutely. The agent can createwebhook to set up a new notification endpoint or listwebhooks to inspect the ones you already have. It's all part of the toolset.

Build logistics chains that book and track 99Minutos couriers with your LangChain agents.

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Connect 99Minutos Express MCP to LangChain

Create your Vinkius account to connect 99Minutos Express to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup 99Minutos Express with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Together Logistics Operations

This isn't just about calling one tool. You build sequences. An agent can get a price with `get_rates`, book the shipment with `create_order`, and immediately start polling its location with `get_tracking`. Each step feeds the next one automatically. Everything is observable. With LangSmith, you can see the entire chain of thought, including the exact inputs and outputs for each 99Minutos tool call. It makes debugging complex agent logic dead simple.

Automate Warehouse and Coverage Checks

Manage your physical footprint from your agent. Your code can `list_stores` to see what's active, then use `list_coverage` to find gaps in your delivery zones. It's a direct way to check where you can and can't ship. Based on those results, your LangChain agent can decide to register a new dispatch point using `create_store`. This moves warehouse management from a manual task to an automated decision within your logistics pipeline.

Dynamic Order Control with LangChain

Give your agents control over active orders. They can run `list_orders` to get a manifest of everything in transit. From there, they can pull specific details with `get_order` for a closer look. This lets you build reactive systems. If an external event happens—like a fraud alert—your agent can find the relevant order and immediately void it with `cancel_order`. That's how you connect your business rules directly to your shipping operations using this MCP Server.

Setup guide

Set up 99Minutos Express MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes 99Minutos Express tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "99minutos-express-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent 99Minutos Express transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 99Minutos App. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about 99Minutos Express MCP in LangChain

You pass the 99Minutos tools to a LangChain agent. The agent's reasoning loop, like ReAct, will automatically chain tools, using the output from `get_rates` as the input for `create_order`, for example.

Yes. Have your agent call `get_rates` with origin and destination ZIPs. It gets a price, and you can build logic that only proceeds with `create_order` if the cost is below a certain threshold.

Use LangSmith. It gives you a full trace of every tool call your agent makes to the 99Minutos Express MCP, showing latency, inputs, and outputs. It’s the easiest way to see exactly what your agent is doing.

Absolutely. The agent can `create_webhook` to set up a new notification endpoint or `list_webhooks` to inspect the ones you already have. It's all part of the toolset.

Vinkius processes API calls in an ephemeral, zero-trust sandbox. The data itself—order details, tracking coordinates, store locations—is passed to your LangChain agent. Your code is responsible for its storage, as LangChain itself is stateless by default.

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