Finmo MCP Server for LangChain 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 Finmo via MCP
Why Use LangChain with the Finmo MCP Server
LangChain provides unique advantages when paired with Finmo through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Finmo 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 Finmo queries for multi-turn workflows
Finmo + LangChain Use Cases
Practical scenarios where LangChain combined with the Finmo MCP Server delivers measurable value.
RAG with live data: combine Finmo tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Finmo, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Finmo tools with web scrapers, databases, and calculators in a single agent run
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:
create_customer
Create a new customer
create_payin
Create a new pay-in
create_payout
Create a new payout
get_fx_rate
Get real-time FX rate
list_beneficiaries
List payout beneficiaries
list_customers
List customers
list_payin_methods
List pay-in methods
list_payins
List pay-ins
list_payouts
List payouts
list_refunds
List refunds
list_virtual_accounts
List virtual accounts
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.
"What are the available pay-in methods for Singapore (SG) in SGD?"
"Show me the current balance of all my organization wallets."
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFinmo + LangChain FAQ
Common questions about integrating Finmo MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Finmo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Finmo to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
