How to Use the Finmo MCP in Google ADK
Connect Gemini models to global rails with Google ADK and the Finmo MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Finmo MCP to Google ADK
Create your Vinkius account to connect Finmo 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.
Enterprise liquidity analysis via Google ADK
This MCP Server allows Gemini models to cross-reference your live Finmo balances by calling `list_wallets` to check current multi-currency holdings. The Google ADK agent instantly compares these figures against your BigQuery financial projections. Using the long-context window of the Google ADK, your Gemini agent processes months of Finmo transaction logs from `list_payins` and `list_payouts` in a single prompt. It spots discrepancies and suggests rebalancing strategies without running out of memory.
Automated customer onboarding and billing
Your Google ADK agent manages the entire merchant onboarding lifecycle using `create_customer` to establish new user accounts. It immediately runs `list_virtual_accounts` to assign local Finmo collection details to that user. When a customer requests a payment link, the Google ADK agent queries `list_payin_methods` to find the cheapest regional rail and initiates the transaction with `create_payin`. Vertex AI tracking logs every decision, keeping your compliance audits clean.
Real-time FX risk mitigation
Volatile currency corridors require quick decisions, prompting your Google ADK system to monitor the market using `get_fx_rate`. The agent checks if current rates warrant a Finmo payout execution via `create_payout` or if funds should remain in local virtual accounts. By restricting the toolset using the optional `tool_names` filter in the Google ADK, you can limit your automated risk agent to only read-only tools like `list_beneficiaries` and `list_refunds` during high-volatility periods. This MCP Server configuration keeps your capital safe while keeping the agent informed.
Set up Finmo MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Finmo tools in your ADK agent.
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="Finmo_agent",
model="gemini-2.0-flash",
instruction="You have access to Finmo 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 Finmo. 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 Finmo MCP in Google ADK
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