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Moova MCP Server for LangChain 14 tools — connect in under 2 minutes

Built by Vinkius GDPR 14 Tools Framework

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

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({
        "moova": {
            "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 Moova, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Moova
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High SecurityEnterprise-grade
IAMAccess control
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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 Moova MCP Server

Connect your Moova B2B logistics account to any AI agent and orchestrate your entire delivery operation through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Moova through native MCP adapters. Connect 14 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

  • Shipment Management — Create, update, and cancel delivery orders with full origin/destination address details and contact information
  • Real-time Tracking — Follow every shipment through GPS-powered tracking events including carrier handoffs, delivery attempts, and proof of delivery
  • Smart Quoting — Get instant shipping cost estimates between any two addresses using Moova's intelligent carrier routing engine
  • Label Generation — Download printable shipping labels with barcodes and QR codes for any registered shipment
  • Coverage Intelligence — Query available delivery zones across Argentina and Latin America before committing to an order
  • Webhook Automation — Configure real-time notifications for shipment status changes to keep your systems synchronized

The Moova MCP Server exposes 14 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 Moova to LangChain via MCP

Follow these steps to integrate the Moova MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 14 tools from Moova via MCP

Why Use LangChain with the Moova MCP Server

LangChain provides unique advantages when paired with Moova through the Model Context Protocol.

01

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

02

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

03

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

04

Memory and conversation persistence let agents maintain context across Moova queries for multi-turn workflows

Moova + LangChain Use Cases

Practical scenarios where LangChain combined with the Moova MCP Server delivers measurable value.

01

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

02

Autonomous research agents: LangChain agents query Moova, synthesize findings, and generate comprehensive research reports

03

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

04

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

Moova MCP Tools for LangChain (14)

These 14 tools become available when you connect Moova to LangChain via MCP:

01

cancel_shipment

Once cancelled, the shipment cannot be reactivated and a new one must be created if needed. Cancel an active shipment order

02

create_shipment

Requires origin and destination addresses with full street details, contact information, and package dimensions. Moova will automatically assign the optimal carrier and route based on real-time availability. Create a new logistics shipment

03

create_webhook

Essential for keeping your e-commerce platform synchronized with delivery progress. Register a new webhook for shipment events

04

delete_webhook

Remove a webhook endpoint

05

get_account_info

Get merchant account information

06

get_budget

Returns pricing from available carriers including express, same-day, and standard delivery options. Get a shipping cost estimate

07

get_shipment

Get full details of a specific shipment

08

get_shipment_label

The label includes barcode, QR code, and all routing information required by the assigned carrier. Download the shipping label for a shipment

09

get_shipment_status

Get the current status of a shipment

10

list_coverage_zones

List all available delivery coverage zones

11

list_shipments

Can be filtered by shipment status (e.g., CREATED, IN_TRANSIT, DELIVERED, CANCELLED) to narrow results. List all shipments with optional status filter

12

list_webhooks

List all registered webhooks

13

track_shipment

Get real-time tracking events for a shipment

14

update_shipment

Changes are not allowed after the carrier has collected the package. Update shipment details before pickup

Example Prompts for Moova in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Moova immediately.

01

"Create a delivery from 'Av. Corrientes 1234, Buenos Aires' to 'Av. Santa Fe 5678, Buenos Aires' for Juan Pérez."

02

"How much would it cost to ship from Palermo to Belgrano in Buenos Aires?"

03

"Track my shipment MOV-28491-AR and tell me where it is right now."

Troubleshooting Moova MCP Server with LangChain

Common issues when connecting Moova to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Moova + LangChain FAQ

Common questions about integrating Moova MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Moova to LangChain

Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.