Fintoc MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Fintoc 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({
"fintoc": {
"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 Fintoc, 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 Fintoc MCP Server
Connect your Fintoc account to any AI agent and automate your open banking and payment operations through the Model Context Protocol (MCP). Fintoc is the leading API for financial integration in Latin America (Chile and Mexico), allowing you to securely access real-time bank data and programmatically initiate transfers.
LangChain's ecosystem of 500+ components combines seamlessly with Fintoc 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
- Bank Connectivity — List and manage your active bank links to maintain persistent access to financial data.
- Account Inspections — Fetch detailed information for all linked bank accounts, including available balances and holder details.
- Movement History — Retrieve transaction history (movements) for any account with powerful filtering options by date.
- Payment Initiation — Create and monitor payment intents to automate bank transfers directly through the agent.
- Subscription Tracking — List and manage active subscriptions to keep track of recurring payments.
- Institution Discovery — Discover supported banks and financial institutions across different countries (Chile and Mexico).
- Real-time Monitoring — Fetch specific movement details or payment intent statuses to keep your financial operations in sync.
The Fintoc 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 Fintoc to LangChain via MCP
Follow these steps to integrate the Fintoc 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 Fintoc via MCP
Why Use LangChain with the Fintoc MCP Server
LangChain provides unique advantages when paired with Fintoc through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Fintoc 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 Fintoc queries for multi-turn workflows
Fintoc + LangChain Use Cases
Practical scenarios where LangChain combined with the Fintoc MCP Server delivers measurable value.
RAG with live data: combine Fintoc tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Fintoc, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Fintoc tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Fintoc tool call, measure latency, and optimize your agent's performance
Fintoc MCP Tools for LangChain (12)
These 12 tools become available when you connect Fintoc to LangChain via MCP:
create_payment_intent
Create a payment intent
get_account
Get account details
get_link
Get link details
get_movement
Get movement details
get_payment_intent
Get payment intent details
get_subscription
Get subscription details
list_accounts
List accounts for a link
list_institutions
List supported institutions
list_links
List all links
list_movements
List movements for an account
list_payment_intents
List payment intents
list_subscriptions
List subscriptions
Example Prompts for Fintoc in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Fintoc immediately.
"List all my bank accounts linked to Fintoc."
"Show me the last 5 transactions for account 'acc_9876'."
"Which banks are supported in Chile (cl)?"
Troubleshooting Fintoc MCP Server with LangChain
Common issues when connecting Fintoc to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFintoc + LangChain FAQ
Common questions about integrating Fintoc 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 Fintoc 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 Fintoc to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.