Are actions simulated or operating live on real Ledgers?

If you inject your core Project Access Token with full production permissions and leave the `env` string off `sandbox`, yes! It executes heavy Core Banking GraphQL mutations that immediately provision legally compliant EU ledgers behind the scenes.

Can the AI Agent manage physical or virtual credit cards?

Yes. Via `swan_add_virtual_card` and `swan_cancel_card` the LLM has complete programmatic control over debit and spend cards mapped to underlying accounts.

Does the system support sandbox incoming money simulation?

Yes! We expose the `swan_simulate_incoming_transfer` specifically so you can test your programmatic workflows in SandBox by pushing fake money into target ledgers.

Swan MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: Swan
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Swan as an MCP tool provider through the 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="swan_agent",
    instruction=(
        "You help users interact with Swan "
        "using 9 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 Swan MCP Server

The Swan MCP Server embeds a complete European Banking-as-a-Service architecture into Vinkius LLMs.

Google ADK natively supports Swan as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 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

Automated Root Provisioning — Instantly spin up local branch operations allocating FRA or ESP IBAN formats through swan_create_account.
Card Administration — Ask the agent to generate custom virtual Mastercards assigned exclusively to distinct contractors utilizing swan_add_virtual_card.
Direct SEPA Execution — Move exact funds safely parsing external creditor data natively through swan_create_sepa_transfer directly across European networks.

The Swan MCP Server exposes 9 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 Swan to Google ADK via MCP

Follow these steps to integrate the Swan 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 9 tools from Swan via MCP

Why Use Google ADK with the Swan MCP Server

Google ADK provides unique advantages when paired with Swan 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 Swan

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 Swan tools with BigQuery, Vertex AI, and Cloud Functions

Swan + Google ADK Use Cases

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

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

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

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

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

Swan MCP Tools for Google ADK (9)

These 9 tools become available when you connect Swan to Google ADK via MCP:

swan_add_virtual_card

Provisions a robust Mastercard Virtual Debit

swan_cancel_card

Permanently cancel a specific corporate card

swan_create_account

Requires an existing AccountHolderId. Dynamically provision a European Account under your ledger

swan_create_sepa_transfer

Initiate a standard European SEPA Credit Transfer

swan_get_accounts

List all operational Swan Bank Accounts/IBANs

swan_get_project_info

Fetch overarching details about your connected Swan Project Node

swan_get_transactions

Retrieve the ledger history for a specific Account

swan_list_cards

List all physical and virtual cards

swan_simulate_incoming_transfer

Sandbox Only - Inject fake money

Example Prompts for Swan in Google ADK

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

"Retrieve my core project identifier and map the legal entity ID."

"Launch a brand new sub-account in France. Bind it to the root entity targeting EUR processing."

"Sweep the ledger of Account X123 and list the latest 5 transactions."

Troubleshooting Swan MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Swan + Google ADK FAQ

Common questions about integrating Swan 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.