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Banco Inter MCP Server for CrewAI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Banco Inter through Vinkius, pass the Edge URL in the `mcps` parameter and every Banco Inter tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Banco Inter Specialist",
    goal="Help users interact with Banco Inter effectively",
    backstory=(
        "You are an expert at leveraging Banco Inter tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Banco Inter "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Banco Inter
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 Banco Inter MCP Server

The Banco Inter MCP Server transforms your AI agent into a secure, fully automated financial assistant directly tethered to your Banco Inter Corporate account. Perform high-velocity API commands without ever logging into the Internet Banking portal.

When paired with CrewAI, Banco Inter becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Banco Inter tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

  • Pix Engine — Interrogate the status of issued billing, generate complex dynamic Pix charges (Pix Cob), and seamlessly orchestrate automated money transfers directly natively through your chatbot.
  • Boleto (Bank Slips) — Generate fully structured Brazilian bank slips parsing customer identifiers (CPF/CNPJ). You can also extract individual slip histories.
  • Routine Banking — Access daily statements (Extratos), balance verifications, and general cash flow history queries natively embedded into conversations.

The Banco Inter MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI 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 Banco Inter to CrewAI via MCP

Follow these steps to integrate the Banco Inter MCP Server with CrewAI.

01

Install CrewAI

Run pip install crewai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Customize the agent

Adjust the role, goal, and backstory to fit your use case

04

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Banco Inter

Why Use CrewAI with the Banco Inter MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Banco Inter through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Banco Inter + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Banco Inter MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Banco Inter for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Banco Inter, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Banco Inter tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Banco Inter against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Banco Inter MCP Tools for CrewAI (8)

These 8 tools become available when you connect Banco Inter to CrewAI via MCP:

01

inter_create_boleto

Gerar um Boleto de Cobrança Bancário (Banco Inter)

02

inter_create_pix_billing

Obrigatório incluir cpfCnpj e valor. Emitir cobrança imediata via Pix (Banco Inter)

03

inter_get_balance

Consultar o Saldo final do dia na Conta Digital (Banco Inter Empresas)

04

inter_get_boleto

Consultar dados detalhados e status de um Boleto específico (Banco Inter)

05

inter_get_statement

Consultar o Resumo (Statement / Extrato) completo de movimentações da conta (Banco Inter Empresas)

06

inter_list_boletos

Listar pesquisa filtrada de Boletos em lote (Banco Inter)

07

inter_list_pix_billings

Consultar cobranças Pix (Cob) recebidas ou geradas num intervalo (Banco Inter)

08

inter_send_pix

O token deve constar o scope necessário. Pagamentos - Enviar um Pix utilizando sua Conta Banco Inter

Example Prompts for Banco Inter in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Banco Inter immediately.

01

"Generate an Inter corporate Boleto for John Doe (CPF 12345678909). The value is 50.00 expiring on 2026-10-10."

02

"Send a dynamic Pix (Cash outbound) of R$ 5.00 to CPF key 03928139."

03

"Load my historical Banco Inter statement (Extrato) from 01/20/2024 to 01/25/2024 and identify if there was any Pix received."

Troubleshooting Banco Inter MCP Server with CrewAI

Common issues when connecting Banco Inter to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Banco Inter + CrewAI FAQ

Common questions about integrating Banco Inter MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Connect Banco Inter to CrewAI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.