Can I test money flows safely without losing real funds?

Absolutely. Increase has a top-tier sandbox environment. In your MCP settings, pass a Sandbox API Key (starting with `sk_test_`) and optionally set the environment to 'sandbox'. We even implemented literal tool overrides like `increase_simulate_inbound_ach` which are intentionally restricted exclusively to simulating inbound events on your test environment.

Does adding a new account via the Agent require paperwork?

No! Assuming your global LLC has already passed initial onboarding and your Entity object handles compliance, any subsequent programmatic calls to `increase_create_account` yield a fully compliant sub-ledger and associated numbers instantaneously contextually within the UI chat responses.

What is the difference between ACH and Wire transfer arrays here?

ACH acts through clearing houses taking normally 1-3 business days suited perfectly for non-urgent vendor mass payouts (`create_ach`). Wire transfers (`create_wire`) tie directly to Fedwire routing logic hitting banks internally within minutes - often bearing a slight static fee. Dictate which the bot should invoke based on liquidity needs.

How can I trace a specific payment?

We've added `increase_list_transactions` to handle historical booked transfers strictly by ID limits, exposing whether money cleared Fed limits safely.

Increase MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Increase
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Increase as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="increase_agent",
    instruction=(
        "You help users interact with Increase "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Increase MCP Server

The Increase MCP Server connects AI to a physical, fully compliant commercial US bank built explicitly top-down for programmatic transactions.

Google ADK natively supports Increase as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Endless Provisioning — Instantly generate new live bank accounts increase_create_account acting as sub-ledgers, enabling separate balances.
Open Payment Rails — Need to inject funds into a supplier directly using native American payment streams? Use increase_create_ach or sweep high-value overnight increase_create_wire securely.
Simulation Environment — Use Sandbox arrays to trigger simulated money hits increase_simulate_inbound_ach checking if an external agent script validates receiving deposits before going to production.

The Increase MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Increase to Google ADK via MCP

Follow these steps to integrate the Increase MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from Increase via MCP

Why Use Google ADK with the Increase MCP Server

Google ADK provides unique advantages when paired with Increase through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Increase

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Increase tools with BigQuery, Vertex AI, and Cloud Functions

Increase + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Increase MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Increase and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Increase tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Increase regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Increase

Increase MCP Tools for Google ADK (12)

These 12 tools become available when you connect Increase to Google ADK via MCP:

increase_create_account

Spin up a new Bank Account programmatically

increase_create_ach

Push an outbound ACH transfer to any US Bank

increase_create_card

Issue a physical/virtual debit card attached to an account

increase_create_routing_number

Generate new ABA routing & account number data

increase_create_wire

Send a same-day US Wire transfer

increase_get_balance

Fetch realtime ledger balance for a specific account

increase_list_accounts

List all sub-accounts under your charter

increase_list_cards

Sweep the active array of issued Cards

increase_list_transactions

Financial history extraction (Booked)

increase_list_transfers

Audit outbound transfers

increase_simulate_inbound_ach

Simulate receiving an ACH inbound (SANDBOX ONLY)

increase_simulate_inbound_wire

Simulate receiving a Wire inbound (SANDBOX ONLY)

Example Prompts for Increase in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Increase immediately.

"Use our main test routing sandbox mechanism to simulate inbound an external payload of $1000 into Account ID 'acc_1234'."

"Audit our entire open accounts layout right now."

"Spin up a new fresh physical corporate banking account dedicated uniquely to 'Server Spends'. Send the Routing number to me."

Troubleshooting Increase MCP Server with Google ADK

Common issues when connecting Increase to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Increase + Google ADK FAQ

Common questions about integrating Increase MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.