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Dwolla MCP Server for Google ADKGive Google ADK instant access to 30 tools to Cancel Transfer, Create Beneficial Owner, Create Customer, and more

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

Ask AI about this MCP Server for Google ADK

The Dwolla MCP Server for Google ADK is a standout in the Money Moves category — giving your AI agent 30 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="dwolla_agent",
    instruction=(
        "You help users interact with Dwolla "
        "using 30 available tools."
    ),
    tools=[mcp_tools],
)
Dwolla
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 Dwolla MCP Server

Connect your Dwolla account to any AI agent and take full control of your payment infrastructure through natural conversation.

Google ADK natively supports Dwolla as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 30 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

  • Customer Management — Create, list, and update individual or business customers directly from the chat
  • Funding Sources — Link bank accounts or balances and manage them for specific customers or your main account
  • Transfer Orchestration — Initiate and track transfers between funding sources with full visibility of the transaction lifecycle
  • Verification Workflows — Handle micro-deposit verification to ensure secure bank account linking
  • Account Insights — Retrieve organizational account details and funding source statuses instantly

The Dwolla MCP Server exposes 30 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 30 Dwolla tools available for Google ADK

When Google ADK connects to Dwolla through Vinkius, your AI agent gets direct access to every tool listed below — spanning bank-transfers, ach-payments, customer-onboarding, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel transfer on Dwolla

Cancel a pending transfer

create

Create beneficial owner on Dwolla

Create a beneficial owner for a business customer

create

Create customer on Dwolla

Create a new customer

create

Create customer funding source on Dwolla

Create a funding source for a customer

create

Create document on Dwolla

Create a document for a customer

create

Create funding source on Dwolla

Create a funding source

create

Create label on Dwolla

Create a label for a customer

create

Create webhook subscription on Dwolla

Create a webhook subscription

get

Get account on Dwolla

Retrieve Dwolla account details

get

Get customer on Dwolla

Retrieve a customer

get

Get document on Dwolla

Retrieve a document

get

Get event on Dwolla

Retrieve an event

get

Get funding source on Dwolla

Retrieve a funding source

get

Get mass payment on Dwolla

Retrieve a mass payment

get

Get transfer on Dwolla

Retrieve a transfer

initiate

Initiate kba on Dwolla

Initiate a KBA session for a customer

initiate

Initiate mass payment on Dwolla

Initiate a mass payment

initiate

Initiate transfer on Dwolla

Requires HAL _links in the payload. Initiate a transfer

list

List account funding sources on Dwolla

List funding sources for an account

list

List account transfers on Dwolla

List transfers for an account

list

List beneficial owners on Dwolla

List beneficial owners for a customer

list

List customers on Dwolla

List or search customers

list

List events on Dwolla

List events

list

List labels on Dwolla

List labels for a customer

list

List webhook subscriptions on Dwolla

List webhook subscriptions

retry

Retry webhook on Dwolla

Retry a webhook

update

Update customer on Dwolla

Update a customer

update

Update funding source on Dwolla

g., passing { removed: true }). Update or remove a funding source

verify

Verify kba on Dwolla

Verify KBA answers

verify

Verify micro deposits on Dwolla

Verify micro-deposits for a funding source

Connect Dwolla to Google ADK via MCP

Follow these steps to wire Dwolla into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 30 tools from Dwolla via MCP

Why Use Google ADK with the Dwolla MCP Server

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

01

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

02

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

03

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

04

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

Dwolla + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Dwolla in Google ADK

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

01

"List all customers in my Dwolla account."

02

"Get details for customer ID cust-001."

03

"Initiate a transfer of $50 between source 'src-123' and destination 'dest-456'."

Troubleshooting Dwolla MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Dwolla + Google ADK FAQ

Common questions about integrating Dwolla MCP Server with Google ADK.

01

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.
02

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.
03

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.

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