How to Use the ReferralCandy MCP in Google ADK
Connect ReferralCandy to your Google ADK pipelines to analyze advocate data with Gemini's million-token context window.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ReferralCandy MCP to Google ADK
Create your Vinkius account to connect ReferralCandy to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Feed ReferralCandy metrics into BigQuery via Google ADK
The `get_stats` tool extracts your high-level referral program metrics directly into your Google Cloud workflows. Your Gemini agent can pull this data, compare it against historical sales tables in BigQuery, and generate performance reports. This setup removes the need for manual CSV exports. Because Google ADK supports long-context reasoning with this MCP integration, you can dump months of referral history into a single prompt to find hidden patterns.
Track advocate networks at scale
The `list_referrers` tool retrieves your entire list of brand advocates so your agent can map out customer relationships. By combining this with `get_referrer`, your pipeline builds a detailed profile of who is driving the most organic growth. Gemini handles the heavy lifting of sorting through thousands of records. You get a clear picture of advocate behavior without writing complex database queries.
Manage campaign configurations with this MCP Server
The `list_campaigns` tool lets your agent audit active referral offers and rewards. It can check specific details using `get_campaign` to ensure your landing pages display the correct incentives. If an offer expires, your agent notices the mismatch immediately. This automated auditing keeps your customer-facing promotions accurate without manual oversight.
Set up ReferralCandy 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 ReferralCandy 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="ReferralCandy_agent",
model="gemini-2.0-flash",
instruction="You have access to ReferralCandy 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 ReferralCandy. 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
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Real-time monitoring
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Built-in savings
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Common questions about ReferralCandy MCP in Google ADK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the ReferralCandy MCP today
We host it, we monitor it, we maintain it. You just paste one token.