How to Use the Banco Inter MCP in CrewAI

Q: How do I connect CrewAI to the Banco Inter MCP Server?

Install the framework using pip install crewai "crewaitools". Then, pass your Vinkius server URL directly inside the CrewAI agent's mcps configuration array to access Banco Inter tools.

Q: Can a CrewAI agent autonomously send Banco Inter Pix payments?

Yes, a CrewAI agent can run intersendpix if you expose that tool in their configuration. You should set up strict role-based access in CrewAI to prevent unauthorized Banco Inter payouts.

Q: How do I restrict which Banco Inter tools a CrewAI agent can use?

Use the MCPServerHTTP class from crewai.mcp and define a toolfilter. This lets you restrict sensitive Banco Inter tools like intersendpix while allowing statement reads.

Q: How does CrewAI protect my Banco Inter credentials and financial data?

Your Banco Inter credentials and statement details from intergetstatement are isolated within Vinkius's zero-trust sandbox. CrewAI communicates via encrypted transport, meaning your banking credentials never touch the LLM provider.

Deploy autonomous agent teams to monitor Banco Inter statements and coordinate Pix collections using CrewAI.

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Connect Banco Inter MCP to CrewAI

Create your Vinkius account to connect Banco Inter to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Banco Inter with CrewAI

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Multi-Agent Banco Inter Ledger Auditing with CrewAI

The `inter_get_statement` tool using the MCP Server extracts your complete transaction history to verify daily corporate cash flow inside CrewAI. CrewAI assigns this data to a specialized auditor agent who cross-references Banco Inter entries with your internal database. While the auditor agent checks the Banco Inter statement, a secondary manager agent coordinates next steps. They share CrewAI memory to ensure no Banco Inter transaction gets processed twice or overlooked.

Automate Pix Collections with CrewAI MCP Server Integration

The `inter_create_pix_billing` tool generates immediate Banco Inter Pix charges using a taxpayer ID and target amount. Your CrewAI collection crew triggers this tool autonomously when a customer's subscription renewal date arrives. By adding the Vinkius URL to the CrewAI agent's `mcps` array, the crew gets direct access to Banco Inter payment generation. A monitor agent watches the billing status, while an escalation agent handles overdue accounts.

Autonomous Banco Inter Boleto Management in CrewAI

The `inter_list_boletos` tool retrieves a filtered batch of bank slips to track outstanding Banco Inter invoices. CrewAI manages multiple agents to review these lists and identify customers who need reminders. You can expose this MCP Server via MCPServerHTTP with a `tool_filter` to only expose read tools to junior CrewAI agents. This limits access, preventing unauthorized agents from executing Banco Inter transfers while allowing them to audit boletos.

Setup guide

Set up Banco Inter MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Banco Inter tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Banco Inter Analyst",
    goal="Access and analyze Banco Inter data via MCP.",
    backstory="Expert analyst with direct Banco Inter access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Banco Inter transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Banco Inter Analyst",
        goal="Access and analyze Banco Inter data via MCP.",
        backstory="Expert analyst with direct Banco Inter access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Banco Inter transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Banco Inter. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Banco Inter MCP in CrewAI

Install the framework using `pip install crewai "crewai[tools]"`. Then, pass your Vinkius server URL directly inside the CrewAI agent's `mcps` configuration array to access Banco Inter tools.

Yes, a CrewAI agent can run `inter_send_pix` if you expose that tool in their configuration. You should set up strict role-based access in CrewAI to prevent unauthorized Banco Inter payouts.

Use the `MCPServerHTTP` class from `crewai.mcp` and define a `tool_filter`. This lets you restrict sensitive Banco Inter tools like `inter_send_pix` while allowing statement reads.

Yes, CrewAI supports both sequential and hierarchical execution models. A research agent can check the balance using `inter_get_balance` before a manager agent approves a Banco Inter payment.

Your Banco Inter credentials and statement details from `inter_get_statement` are isolated within Vinkius's zero-trust sandbox. CrewAI communicates via encrypted transport, meaning your banking credentials never touch the LLM provider.

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