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How to Use the Mambu MCP in Google ADK

Feed Mambu banking data into your Google ADK workflows to analyze massive transaction histories with Gemini.

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Google ADK

Connect Mambu MCP to Google ADK

Create your Vinkius account to connect Mambu 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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Analyze Mambu MCP Server data with Gemini

The `list_transactions` and `list_activities` tools feed raw banking ledgers from the MCP server straight into your Google ADK agent. Because Gemini handles 1M+ token context windows, you can dump thousands of transaction records into a single prompt for complex pattern matching. You also get access to the `list_communications` tool. Your agent reads every email and SMS sent to a customer, combining that communication history with financial behavior to assess account health.

Fetch clients and process tasks

The `get_client` tool retrieves specific demographic and status data for a single Mambu customer. The agent requests the client ID, and the server returns the exact JSON payload from your core banking environment. If your team uses Mambu's internal ticketing, `get_task` and `list_tasks` expose those workflows. Your Gemini agent can read pending underwriting tasks and cross-reference them against data already sitting in BigQuery.

Read loan and deposit balances

The `get_loan_account` and `get_deposit_account` tools pull real-time balances, interest rates, and arrear states. You do not have to guess if an account is delinquent; the agent fetches the exact status code. For portfolio-wide queries, `list_loan_accounts` and `list_deposit_accounts` return batches of accounts based on your filters. You can restrict which of these endpoints the agent sees using the `tool_names` filter in the ADK setup.

Setup guide

Set up Mambu 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 Mambu 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="Mambu_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mambu 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 Mambu. 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 Mambu MCP in Google ADK

Install `google-adk` and initialize a `McpToolset` pointing to the Mambu MCP endpoint. Pass that toolset to your `LlmAgent` constructor.
No. The available tools, like `list_transactions` and `get_loan_account`, strictly read data. You cannot post new ledgers or alter account balances.
Yes. The framework supports both Stdio and HTTP transports, allowing you to connect to the remote Mambu MCP infrastructure easily.
Use the optional `tool_names` filter when setting up your toolset. You can limit the agent to just `get_client` if you want to prevent it from reading loan accounts.
The server handles highly regulated loan accounts and deposit balances. We enforce a zero-trust architecture where the ephemeral container processes the request and instantly terminates, ensuring no banking records persist on disk.

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