2,500+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

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

asyncio.run(main())
Finmo
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 Finmo MCP Server

Connect your Finmo account to any AI agent and automate your global treasury and payment operations through the Model Context Protocol (MCP). Finmo provides a unified platform for managing multi-currency liquidity, local collection methods, and cross-border disbursements, now accessible directly through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Finmo through native MCP adapters. Connect 12 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

  • Global Pay-ins — List available local collection methods across different countries and initiate pay-ins effortlessly.
  • Simplified Payouts — Manage your disbursements globally by listing and initiating payouts to verified beneficiaries.
  • Wallet Management — Get a real-time overview of your organization's wallets and balances across various currencies.
  • Customer & Beneficiary Control — Maintain your database of customers and payout beneficiaries to ensure secure and accurate transactions.
  • Real-time FX Rates — Fetch live foreign exchange quotes to make informed decisions on currency conversions and international transfers.
  • Virtual Accounts — List and manage virtual accounts for streamlined reconciliation and local payment acceptance.
  • Transaction Monitoring — Track the status of refunds and historical payments to keep your financial records in sync.

The Finmo 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 Finmo to LangChain via MCP

Follow these steps to integrate the Finmo 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 12 tools from Finmo via MCP

Why Use LangChain with the Finmo MCP Server

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

01

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

Finmo + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Finmo MCP Tools for LangChain (12)

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

01

create_customer

Create a new customer

02

create_payin

Create a new pay-in

03

create_payout

Create a new payout

04

get_fx_rate

Get real-time FX rate

05

list_beneficiaries

List payout beneficiaries

06

list_customers

List customers

07

list_payin_methods

List pay-in methods

08

list_payins

List pay-ins

09

list_payouts

List payouts

10

list_refunds

List refunds

11

list_virtual_accounts

List virtual accounts

12

list_wallets

List organization wallets

Example Prompts for Finmo in LangChain

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

01

"What are the available pay-in methods for Singapore (SG) in SGD?"

02

"Show me the current balance of all my organization wallets."

03

"Get a live exchange rate to sell 1000 USD for EUR."

Troubleshooting Finmo MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Finmo + LangChain FAQ

Common questions about integrating Finmo 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 Finmo to LangChain

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.