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Easyship MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Easyship 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({
        "easyship": {
            "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 Easyship, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Easyship
Fully ManagedVinkius Servers
60%Token savings
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 Easyship MCP Server

Integrate Easyship, the leading global shipping platform for e-commerce, directly into your AI workflow. Manage your cross-border shipments and carrier rates, track packages in real-time with detailed checkpoint logs, monitor available couriers and their service levels, and oversee your logistics operations using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Easyship through native MCP adapters. Connect 10 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 Oversight — List and retrieve detailed information and real-time status for all your global logistics shipments.
  • Rate Intelligence — Request instant shipping quotes and estimated delivery times for various couriers based on parcel details.
  • Tracking Monitoring — Monitor active shipments, resolving real-time transit statuses, courier events, and delivery receipts.
  • Carrier Management — Access and monitor all available couriers and their specific service capability boundaries.

The Easyship MCP Server exposes 10 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 Easyship to LangChain via MCP

Follow these steps to integrate the Easyship 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 10 tools from Easyship via MCP

Why Use LangChain with the Easyship MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Easyship 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 Easyship queries for multi-turn workflows

Easyship + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Easyship MCP Tools for LangChain (10)

These 10 tools become available when you connect Easyship to LangChain via MCP:

01

get_easyship_account_metadata

Retrieve metadata and limits for your Easyship account

02

get_shipment_details

Get detailed information and tracking for a specific shipment

03

get_shipping_rates

Request shipping rates for a potential shipment

04

list_available_couriers

List all available couriers and their service capability boundaries

05

list_failed_deliveries

Identify shipments that have failed delivery or encountered issues (mock logic)

06

list_in_transit_shipments

Identify shipments that are currently in transit with a courier

07

list_latest_shipments

Identify the most recently created or updated shipments

08

list_logistics_shipments

List all shipments in your Easyship account

09

quick_shipping_volume_audit

Retrieve a high-level summary of shipment activity and success rates

10

search_shipments_by_reference

Search for shipments using a reference ID or keyword

Example Prompts for Easyship in LangChain

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

01

"List the most recent global shipments."

02

"Get shipping rates from USA to France for a 1kg parcel."

03

"Check the status of shipment 'ES-12345678'."

Troubleshooting Easyship MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Easyship + LangChain FAQ

Common questions about integrating Easyship 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 Easyship to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.