How to Use the Banco Inter MCP in Google ADK

Q: Can I limit the tools Banco Inter provides to Google ADK?

You can use the toolnames filter in your agent setup. This restricts the agent to only the specific tools you authorize.

Build enterprise agents on Google ADK that perform banking tasks using your Banco Inter account.

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Connect Banco Inter MCP to Google ADK

Create your Vinkius account to connect Banco Inter to Google ADK 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 Google ADK

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Execute banking operations in Google ADK

The `inter_send_pix` tool allows your agent to initiate transfers directly from your Google Cloud environment. Your agent manages the entire execution path, from checking balance to sending funds.

Sync Banco Inter with BigQuery via Google ADK

Use `inter_get_statement` to pull your daily activity into a format your agent can push to your data warehouse. This MCP Server acts as the bridge between your live banking data and your Google Cloud infrastructure.

Check billing status

Run `inter_get_boleto` to see if a customer paid their bill. Your agent updates your internal state based on the specific details returned by this tool.

Setup guide

Set up Banco Inter MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Banco Inter tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Banco Inter_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Banco Inter tools via MCP.",
    tools=mcp_tools,
)

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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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Banco Inter now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Banco Inter MCP in Google ADK

You use the McpToolset class to point your agent at the Vinkius endpoint. It maps the tools into your agent's available action set.

The server passes the error code directly to your agent. Your agent then decides whether to retry or log an alert.

You can use the tool_names filter in your agent setup. This restricts the agent to only the specific tools you authorize.

The model processes the response data to make decisions. Your raw credentials are never shared with the model.

Tokens are managed by the Vinkius infrastructure. Your agent uses a single session token, and we rotate these regularly.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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