How do I obtain my Ezus API Key?

You can find your API Key in the Ezus settings under the 'Integrations' or 'API' section. Note that a Premium plan may be required for private API access.

Can I update existing projects using this integration?

Yes! Use the `upsert_project` tool. If you provide an existing Project ID, it will update the project; otherwise, it will create a new one.

Is it possible to list invoices to track payments?

Absolutely. The `list_invoices` and `get_invoice` tools allow you to retrieve financial records and check their current status.

Ezus MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Ezus
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 Ezus through the 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({
        "ezus": {
            "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 Ezus, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Ezus MCP Server

Connect your Ezus travel management account to any AI agent and take full control of your agency's workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Ezus through native MCP adapters. Connect 12 tools via the 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

Project Management — List, fetch, and upsert travel projects directly from the Ezus cloud
Client & Supplier CRM — Query client details and manage your network of suppliers with ease
Product Catalog — Access and inspect your travel products and packages stored in the Ezus catalog
Financial Overview — List and inspect invoices to keep track of your agency's billing and financial status
User Profiling — Retrieve the underlying credentials and profile information of your agent's API user

The Ezus 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 Ezus to LangChain via MCP

Follow these steps to integrate the Ezus 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 Ezus via MCP

Why Use LangChain with the Ezus MCP Server

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

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

Ezus + LangChain Use Cases

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

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

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

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

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

Ezus MCP Tools for LangChain (12)

These 12 tools become available when you connect Ezus to LangChain via MCP:

get_client

Get a specific Ezus client by ID

get_invoice

Get a specific Ezus invoice by ID

get_me

Get current Ezus user profile

get_product

Get a specific Ezus product by ID

get_project

Get a specific Ezus project by ID

get_supplier

Get a specific Ezus supplier by ID

list_clients

List all Ezus clients

list_invoices

List all Ezus invoices

list_products

List all Ezus products

list_projects

List all Ezus projects

list_suppliers

List all Ezus suppliers

upsert_project

Create or update an Ezus project

Example Prompts for Ezus in LangChain

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

"List my recent travel projects on Ezus."

"Show me the details for client ID 12345."

"Get all products available in the catalog."

Troubleshooting Ezus MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Ezus + LangChain FAQ

Common questions about integrating Ezus 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.