Belvo MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Belvo through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Belvo Assistant",
instructions=(
"You help users interact with Belvo. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Belvo"
)
print(result.final_output)
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 Belvo MCP Server
Connect your Belvo account to any AI agent and orchestrate your financial data workflows across Latin America through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Belvo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Belvo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Belvo MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Belvo
Why Use OpenAI Agents SDK with the Belvo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Belvo through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Belvo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Belvo MCP Server delivers measurable value.
Automated workflows: build agents that query Belvo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Belvo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Belvo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Belvo to resolve tickets, look up records, and update statuses without human intervention
Belvo MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Belvo to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Belvo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Belvo + OpenAI Agents SDK FAQ
Common questions about integrating Belvo MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Belvo 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 Belvo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
