How to Use the Expensya MCP in LangChain

Chain your expense workflows directly in LangChain agents for automated reporting and data sync.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Expensya MCP to LangChain

Create your Vinkius account to connect Expensya 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.

GDPR Free for Subscribers

Setup Expensya with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate expense entry with LangChain

Feed receipt data directly into your LangChain pipeline to trigger `create_new_expense`. Your agent handles the parsing and validation before hitting the API. This keeps your accounting pipeline moving without manual intervention. The agent uses `list_expense_categories` to ensure every submission hits the right ledger account immediately.

Dynamic expense reporting in LangChain

Use `list_expenses` to pull raw transaction data into your chain for real-time analysis. You can filter by date or status to feed specific report segments. Your agent then aggregates these figures for your internal dashboard. It maintains a clean flow of data from the MCP server straight to your final output.

Currency and payment tracking

Verify every transaction against `list_supported_currencies` and `list_payment_methods` before finalizing a report. This prevents errors during the submission phase. Your agent checks these values to ensure compliance with company policy. It turns a complex verification task into a simple, automated step in your chain.

Setup guide

Set up Expensya 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 Expensya 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({
    "expensya-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 Expensya transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Expensya. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Expensya now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Expensya MCP in LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. This lets your agent call the server tools directly within your existing code.

Yes. You can chain multiple tools together to handle end-to-end tasks like scanning receipts and filing reports in one go.

It does. You can aggregate this server with others to build a multi-source pipeline that handles both expenses and project data.

The data stays within your agent's memory or gets passed to your chosen database. You control the flow entirely.

Data stays local to your execution environment. We only touch your receipt and transaction records when your agent explicitly requests them.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.