Can I check the balance of a specific account using this integration?

Yes! Use the `get_account` tool with the Account ID. Your agent will fetch the latest balance and account metadata directly from Belvo.

How do I list all transactions for a particular connection?

Simply ask the agent to `list_transactions`. You can then inspect specific transaction details using the `get_transaction` tool with the Transaction ID.

Does the integration support all institutions in Brazil and Mexico?

This integration supports all institutions currently active in your Belvo account across supported countries. Use the `list_institutions` tool to see the full list of available banks and platforms.

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

Name: Belvo
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Belvo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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({
        "belvo": {
            "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 Belvo, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

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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 Belvo MCP Server

Connect your Belvo account to any AI agent and orchestrate your financial data workflows across Latin America through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Belvo 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

Connection Management — List and inspect all financial institution links (connections) managed by Belvo.
Account Oversight — Query and retrieve details for banking and gig-economy accounts.
Transaction Analysis — List and filter financial transactions to understand spending patterns and history.
Income & Expense Insights — Access processed insights like recurring expenses and income summaries.
Investment Portfolios — Retrieve detailed information on investment holdings and performance.
Institution Discovery — List all supported banks and institutions in the Belvo ecosystem.

The Belvo 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 Belvo to LangChain via MCP

Follow these steps to integrate the Belvo 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 Belvo via MCP

Why Use LangChain with the Belvo MCP Server

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

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

Belvo + LangChain Use Cases

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

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

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

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

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

Belvo MCP Tools for LangChain (12)

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

get_account

Get specific account details

get_investments

List investment portfolios

get_link

Get specific connection details

get_transaction

Get specific transaction details

list_accounts

List all financial accounts across all links

list_balances

List balances for all accounts

list_incomes

List income insights for the links

list_institutions

List all supported financial institutions

list_links

List all connections (links) to financial institutions

list_owners

List owners of the financial accounts

list_recurring_expenses

List recurring expense insights

list_transactions

List all transactions

Example Prompts for Belvo in LangChain

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

"List all active financial links in my Belvo account."

"Show my account balances across all links."

"List recurring expenses found in my accounts."

Troubleshooting Belvo MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Belvo + LangChain FAQ

Common questions about integrating Belvo MCP Server with LangChain.

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.

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.