How to Use the LeadDyno MCP in Google ADK

Q: Can I restrict which LeadDyno tools my Google ADK agent uses?

Absolutely, use the toolnames filter when configuring your McpToolset. This allows you to expose only the specific operations your agent needs to perform its tasks.

Integrate LeadDyno with your Google ADK agents to track sales and manage affiliate programs within your cloud infrastructure.

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Connect LeadDyno MCP to Google ADK

Create your Vinkius account to connect LeadDyno 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.

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Setup LeadDyno with Google ADK

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Streamline LeadDyno with Google ADK

Connect your agent to the LeadDyno MCP Server using the McpToolset to enable direct interaction with your marketing data. This allows your agent to perform actions like `create_lead` as soon as a new user registers. This setup bridges your cloud-native workflow with your affiliate platform. It gives your agents the ability to write conversion data back to the system without custom API wrappers.

Execute Affiliate Queries at Scale

Use `list_affiliates` to pull partner rosters into your agent's memory for decision-making. The Google ADK architecture allows these tools to operate alongside your existing BigQuery data sources. Your agent can now cross-reference affiliate performance with internal sales metrics. It makes complex data analysis a matter of simple tool calls.

Record Purchases with Google ADK

Invoke `create_purchase` to log transactions as they complete on your site. This ensures that every sale is attributed correctly to the referring affiliate in LeadDyno. By integrating this tool into your pipeline, you stop worrying about manual reconciliation. The agent manages the record creation, keeping your LeadDyno dashboard accurate.

Setup guide

Set up LeadDyno MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(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 LeadDyno tools in your ADK agent.

agent.py

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="LeadDyno_agent",
    model="gemini-2.0-flash",
    instruction="You have access to LeadDyno tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LeadDyno. 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.

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Common questions about LeadDyno MCP in Google ADK

Instantiate the McpToolset with your server URL and include it in the tools list for your LlmAgent. This allows your agent to immediately start using LeadDyno functionality.

Yes, you can feed large volumes of affiliate data into your Gemini model's context window. Use the `list_` tools to gather the information, then let the model process the trends.

Your customer data stays within your authorized infrastructure and the encrypted communication channel. The MCP Server acts only as a bridge for the specific actions you trigger.

The agent will receive a clear error response from the server, which you can catch and log. Use these logs to refine your agent's retry logic and ensure data consistency.

Absolutely, use the tool_names filter when configuring your McpToolset. This allows you to expose only the specific operations your agent needs to perform its tasks.

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