How to Use the Finmei MCP in Google ADK
Run enterprise-grade Gemini agents that process your Finmei expenses and tax rates using the Google ADK framework.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Finmei MCP to Google ADK
Create your Vinkius account to connect Finmei 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.
Query Finmei records inside Google ADK pipelines
The `list_expenses` tool pulls raw Finmei transaction data directly into your Google ADK Gemini long-context window. Your Gemini agent analyzes thousands of historical rows at once, uncovering spending trends without pagination limits. You pass the MCP Server parameters to the ADK `McpToolset` constructor to expose these Finmei endpoints. The Google ADK agent then combines transaction outputs with BigQuery datasets for deep financial reporting.
Automate Finmei payment tracking with Google ADK
The `list_payments` tool retrieves Finmei payment histories to cross-reference against your Google ADK database records. Your enterprise Google agent runs this check hourly to flag unpaid invoices. If the Google ADK agent detects a missing record, it calls `get_payment` to pull specific Finmei metadata. This direct integration lets you reconcile Finmei books without manual spreadsheet exports.
Categorize Finmei corporate spending with Google ADK
The `list_categories` tool lists your active Finmei classifications to ensure clean bookkeeping inside Google ADK. Your Gemini agent maps incoming receipts to these precise Finmei categories before creating new entries. By using the MCP tools inside the ADK, you can limit the Gemini agent to only run `create_expense` and `list_tax_types`. This prevents the Google ADK model from invoking administrative tools like `delete_payment`.
Set up Finmei 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 Finmei 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="Finmei_agent",
model="gemini-2.0-flash",
instruction="You have access to Finmei 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 Finmei. 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 Finmei MCP in Google ADK
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