How to Use the Vouchery.io MCP in Google ADK
Build enterprise agents that manage discounts and loyalty using the Google ADK framework.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vouchery.io MCP to Google ADK
Create your Vinkius account to connect Vouchery.io 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.
Manage Vouchery Campaigns
The agent can check all current campaigns by executing `list_campaigns`. This function gives your Google Cloud workflow a clear list of active discount programs. Want to spin up a new promotion? Use `create_campaign` within the toolset. It takes just the name and type, letting you deploy marketing initiatives rapidly.
Process Voucher Claims
When a voucher is claimed, your agent runs `redeem_voucher`. This handles the entire claim process against Vouchery.io’s records. Need to validate a code before use? Call `get_voucher`. It pulls detailed status information on any specific voucher code.
Track Customer Accounts
Get an overview of your user base by calling `list_customers`. This brings customer records into the Google ADK context for deeper analysis. You can also update profiles with `create_customer`, maintaining data integrity across your BigQuery pipelines.
Set up Vouchery.io 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 Vouchery.io 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="Vouchery.io_agent",
model="gemini-2.0-flash",
instruction="You have access to Vouchery.io 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 Vouchery.io. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Vouchery.io MCP in Google ADK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Vouchery.io MCP today
We host it, we monitor it, we maintain it. You just paste one token.