How to Use the LeadsRx MCP in Google ADK

Q: How do I register the LeadsRx MCP Server inside a Google ADK agent?

Use McpToolset with StreamableHttpServerParameters pointing to your Vinkius HTTP endpoint. Pass this toolset into your Google ADK LlmAgent constructor to automatically discover tools like listcampaigns.

Q: Can I restrict my Google ADK agent to only read LeadsRx campaign data over MCP?

Yes, use the toolnames filter in your Google ADK configuration to expose only listcampaigns and getcampaignresults. This prevents the agent from calling write tools like addconversion.

Q: How does Gemini's long-context window work with LeadsRx data in Google ADK?

Google ADK can ingest thousands of touchpoints returned by listtouchpoints in a single prompt. The agent analyzes entire customer journeys at once, finding patterns that shorter-context models would truncate.

Q: How do I handle multiple LeadsRx advertisers inside the Google ADK runtime?

Call listadvertisers to get a list of active accounts in your Google ADK agent. Your agent can then loop through each ID to pull campaign reports individually, ensuring data from different brands remains separated.

Feed live LeadsRx attribution data directly into your Google ADK enterprise agents to optimize campaigns.

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Connect LeadsRx MCP to Google ADK

Create your Vinkius account to connect LeadsRx 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 LeadsRx with Google ADK

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Connect LeadsRx channels with this MCP Server

The `list_channels` tool retrieves all defined marketing channels from your LeadsRx account directly into your Google ADK agent. Your Google ADK agent uses this list to map channel performance against your historical BigQuery tables. This integration allows your Google ADK agent to run long-context reasoning over millions of tokens using LeadsRx data. It compares your live LeadsRx channels with offline Google Cloud data to find attribution gaps that standard models miss.

Audit LeadsRx agencies in Google ADK

The `list_agencies` tool fetches all marketing agencies associated with your LeadsRx account directly into Google ADK. Your Google ADK agent reads this LeadsRx data to evaluate external partner performance. By pairing this with `get_campaign_results`, the Google ADK agent calculates the exact return each agency delivers. You can write Gemini prompts inside Google ADK that analyze these LeadsRx metrics over long historical windows.

Track LeadsRx conversions in Google ADK

The `list_conversions` tool returns your recent LeadsRx attribution events directly to your Google ADK environment. This allows your Google ADK agent to monitor LeadsRx transaction trends directly from your cloud console. If a conversion anomaly is detected, the Google ADK agent calls `get_conversion_details` to inspect the payload. It can then trigger alerts or log the LeadsRx incident directly to your Google Cloud logging system via Google ADK.

Setup guide

Set up LeadsRx 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 LeadsRx 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="LeadsRx_agent",
    model="gemini-2.0-flash",
    instruction="You have access to LeadsRx 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 LeadsRx. 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 LeadsRx MCP in Google ADK

Use `McpToolset` with `StreamableHttpServerParameters` pointing to your Vinkius HTTP endpoint. Pass this toolset into your Google ADK `LlmAgent` constructor to automatically discover tools like `list_campaigns`.

Yes, use the `tool_names` filter in your Google ADK configuration to expose only `list_campaigns` and `get_campaign_results`. This prevents the agent from calling write tools like `add_conversion`.

Google ADK can ingest thousands of touchpoints returned by `list_touchpoints` in a single prompt. The agent analyzes entire customer journeys at once, finding patterns that shorter-context models would truncate.

Call `list_advertisers` to get a list of active accounts in your Google ADK agent. Your agent can then loop through each ID to pull campaign reports individually, ensuring data from different brands remains separated.

Your LeadsRx advertiser lists and campaign metrics are processed in memory within your secure Google Cloud environment. Vinkius manages the connection to the API, ensuring no raw credentials or campaign lists are stored outside your Google ADK runtime.

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