How to Use the Influencers Club MCP in Google ADK

Q: How do I add the Influencers Club MCP Server to my Google ADK agent?

Initialize McpToolset using StreamableHttpServerParameters pointing to your Vinkius URL. Pass this toolset into the tools list of your LlmAgent. This exposes the 8 influencer search and enrichment tools directly to Gemini.

Q: How does the Google ADK manage API credit limits for the Influencers Club server?

Your agent can query getuserinfo and getusage before running batch enrichment pipelines. This lets you write logic that pauses the Gemini agent if your remaining credits drop below a specific threshold.

Q: Can I restrict which tools are exposed to my Gemini agent?

Yes, the ADK supports an optional toolnames filter in the toolset configuration. You can limit the agent to only use getcreatorposts if you want to prevent it from running expensive searches.

Feed real-time creator data directly into BigQuery and Vertex AI workflows using the Google ADK to analyze massive influencer lists.

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Connect Influencers Club MCP to Google ADK

Create your Vinkius account to connect Influencers Club 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 Influencers Club with Google ADK

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Sourcing Influencers via the Google ADK

The `search_creators` tool fetches structured influencer lists based on your specific criteria. Combining this tool with the Google ADK allows your Gemini agent to process thousands of creator profiles simultaneously inside its million-token context window. You can feed the raw search output directly into Vertex AI pipelines. By passing the MCP toolset to your `LlmAgent`, your model can instantly cross-reference new prospects with your existing customer databases stored in BigQuery.

Identifying Lookalike Creators and Audience Duplication

The `get_similar_creators` tool identifies lookalike profiles based on a single high-performing creator's handle. This tool helps you expand your campaign reach when a specific partner delivers strong results. The Google ADK lets you run `get_audience_overlap` across these lookalike lists to ensure you are not buying the same audience twice. Running these checks through a unified MCP Server transport prevents your agent from making redundant API calls.

Enriching Internal CRM Data from Social Handles

The `enrich_by_handle` tool converts raw social handles into complete creator profiles, including email addresses and engagement metrics. This tool allows your enterprise agents to update old CRM records with fresh social data automatically. You can run `enrich_by_email` as a background task inside your Google Cloud environment. Because the ADK supports standard HTTP transports, your agent can query this server directly from an active Cloud Run container.

Setup guide

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

Initialize `McpToolset` using `StreamableHttpServerParameters` pointing to your Vinkius URL. Pass this toolset into the `tools` list of your `LlmAgent`. This exposes the 8 influencer search and enrichment tools directly to Gemini.

Yes, you can instruct your Gemini agent to fetch creator details using `enrich_by_handle` and write those structured profiles directly into a BigQuery dataset. The ADK handles the data pass-through natively.

Your agent can query `get_user_info` and `get_usage` before running batch enrichment pipelines. This lets you write logic that pauses the Gemini agent if your remaining credits drop below a specific threshold.

Yes, the ADK supports an optional `tool_names` filter in the toolset configuration. You can limit the agent to only use `get_creator_posts` if you want to prevent it from running expensive searches.

Social handles and emails are processed inside ephemeral V8 isolates on Vinkius. No demographic data or contact info is cached on Google Cloud or Vinkius servers, maintaining strict MCP data isolation.

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