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How to Use the Cora Bank MCP in Google ADK

Run Gemini enterprise agents with Google ADK to analyze Cora Bank cash flow and execute Pix transfers directly from BigQuery.

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Google ADK

Connect Cora Bank MCP to Google ADK

Create your Vinkius account to connect Cora Bank 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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Run deep cash flow analysis with Gemini and Google ADK

The `cora_get_statement` tool brings raw Brazilian transaction histories directly into Gemini's massive one-million-token context window. This allows your Google ADK agent to process months of financial records in a single run, finding patterns that standard scripts miss. By feeding this data straight into your enterprise pipeline, you can run predictive cash flow models. The agent uses `cora_get_balance` to match current liquid assets against upcoming liabilities without manual exports.

Trigger Pix payouts from BigQuery using this MCP Server

The `cora_send_pix` tool executes instant outbound payments driven by your database triggers. Your Google ADK agent monitors BigQuery tables for approved vendor invoices, matches the amounts, and initiates the Pix transfer automatically. To keep your ledgers clean, the agent immediately calls `cora_list_payments` to verify the execution. This closes the loop between your Google Cloud data warehouse and your actual Brazilian bank account.

Automate invoice tracking with Vertex AI integrations

The `cora_create_invoice` tool generates official boletos and Pix QR codes whenever your CRM logs a new sale. The Google ADK agent builds the payload, calls the bank, and returns the payment details to your customer. If a client requests a change, the agent uses `cora_get_invoice` to inspect the status or `cora_cancel_invoice` to void the charge. All these actions run through the same secure endpoint, keeping your billing automated.

Setup guide

Set up Cora Bank 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Cora Bank 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="Cora Bank_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cora Bank tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cora Bank. 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 Cora Bank MCP in Google ADK

You initialize the McpToolset using your Vinkius HTTP server parameters. Once loaded, pass this toolset directly into your LlmAgent instance so Gemini can access your Brazilian banking functions.
Yes, you can use the tool_names filter when setting up your McpToolset. This lets you expose read-only tools like `cora_list_invoices` while hiding payment tools like `cora_send_pix` from customer-facing agents.
Gemini uses its long-context window to analyze thousands of transactions returned by `cora_get_statement`. The agent can cross-reference this entire history against your BigQuery tables without hitting token limits.
Yes, the framework handles both transport methods seamlessly. For cloud-hosted environments like Vertex AI, the streamable HTTP transport is the cleanest way to connect to your bank tools.
Your raw transaction logs and Pix payloads are processed entirely within ephemeral V8 sandboxes. Vinkius manages the authentication handshake, ensuring your API credentials never leak into Google Cloud logs.

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