2,500+ MCP servers ready to use
Vinkius

Open Finance Brasil MCP Server for LangChain 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools Framework

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

asyncio.run(main())
Open Finance Brasil
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 Open Finance Brasil MCP Server

Connect Open Finance Brasil to any AI agent via MCP.

How to Connect Open Finance Brasil to LangChain via MCP

Follow these steps to integrate the Open Finance Brasil 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 7 tools from Open Finance Brasil via MCP

Why Use LangChain with the Open Finance Brasil MCP Server

LangChain provides unique advantages when paired with Open Finance Brasil through the Model Context Protocol.

01

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

Open Finance Brasil + LangChain Use Cases

Practical scenarios where LangChain combined with the Open Finance Brasil MCP Server delivers measurable value.

01

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

02

Autonomous research agents: LangChain agents query Open Finance Brasil, synthesize findings, and generate comprehensive research reports

03

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

04

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

Open Finance Brasil MCP Tools for LangChain (7)

These 7 tools become available when you connect Open Finance Brasil to LangChain via MCP:

01

get_accounts

Returns account type, agency, number, and available balance. Get list of payment accounts and their balances

02

get_credit_card_bills

Needs a Credit Card Account ID. Get credit card bills for a specific card account

03

get_credit_cards

Returns brand, limits (total, available, used). Get credit card accounts and their limits

04

get_customer_data

Returns basic identification info. Get personal data of the customer (Name, CPF, Address)

05

get_financing

Returns loans, vehicle financing, real estate. Get financing and loan contracts

06

get_investments

Returns treasury, funds, CDBs, etc. Get investment portfolio

07

get_transactions

Needs an Account ID from get_accounts. Get transaction history for a specific account

Troubleshooting Open Finance Brasil MCP Server with LangChain

Common issues when connecting Open Finance Brasil to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Open Finance Brasil + LangChain FAQ

Common questions about integrating Open Finance Brasil 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 Open Finance Brasil to LangChain

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.