How to Use the Influencer ROI Calculator MCP in Google ADK
Connect Influencer ROI Calculator to Google ADK to turn your BigQuery marketing datasets into actionable financial insights.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Influencer ROI Calculator MCP to Google ADK
Create your Vinkius account to connect Influencer ROI Calculator to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Native engagement valuation for agents
Pull raw engagement numbers from your cloud storage and process them through `get_engagement_valuation`. It identifies which creators actually move the needle. Your Google ADK agent handles the heavy lifting. It converts complex social data into clean, valuation-ready insights for your marketing team.
Compare performance with paid social data
Use `compare_to_paid_social` to run head-to-head tests against your standard ad campaigns. This MCP pulls the benchmarks you need to justify your spend. Your Google ADK setup can now reason across different acquisition channels. It flags when influencer performance falls below your baseline paid social targets.
Analyze conversion economics in the cloud
Map your conversion funnel directly to your investment data. `get_conversion_economics` provides the clarity required to scale your most profitable partnerships. It works natively with your existing Google Cloud infrastructure. Your agent calculates the precise Customer Acquisition Cost for every influencer campaign.
Set up Influencer ROI Calculator 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 Influencer ROI Calculator 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="Influencer ROI Calculator_agent",
model="gemini-2.0-flash",
instruction="You have access to Influencer ROI Calculator 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 Influencer ROI Calculator. 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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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
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Common questions about Influencer ROI Calculator MCP in Google ADK
Use it with your favorite AI tools
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Start using the Influencer ROI Calculator MCP today
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