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 Pydantic AI 12 tools — connect in under 2 minutes

Name: Belvo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Belvo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Belvo "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Belvo?"
    )
    print(result.data)

asyncio.run(main())

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 Belvo MCP Server

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

Pydantic AI validates every Belvo tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Belvo MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Belvo with type-safe schemas

Why Use Pydantic AI with the Belvo MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Belvo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Belvo connection logic from agent behavior for testable, maintainable code

Belvo + Pydantic AI Use Cases

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

Type-safe data pipelines: query Belvo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Belvo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Belvo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Belvo responses and write comprehensive agent tests

Belvo MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Belvo to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Belvo + Pydantic AI FAQ

Common questions about integrating Belvo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Belvo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.