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How to Use the HypeAuditor MCP in Google ADK

Feed verified HypeAuditor creator data directly into your Google ADK pipelines for enterprise-scale analysis.

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Google ADK

Connect HypeAuditor MCP to Google ADK

Create your Vinkius account to connect HypeAuditor 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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Scan global influencer directories

The `search_influencers` tool queries the main database using specific demographic and platform filters. Your Gemini-powered agent uses this to find creators who fit your brand's target audience. Because the Google ADK handles massive context windows, your agent can analyze hundreds of search results simultaneously. It sorts through these profiles to find the highest-value targets for your campaigns.

Read verified creator reports using this MCP Server

The `get_influencer_report` tool retrieves deep performance history and audience authenticity scores for specific profiles. Your agent uses this raw data to spot fake followers and suspicious engagement patterns. You can pipe this structured report data directly into BigQuery for long-term tracking. This allows your team to build custom dashboards based on verified audience metrics.

Verify account status and billing metrics

The `get_account_info` tool retrieves your current subscription details and active package limits. Your agent checks this data to ensure you have the necessary balance to run deep analytical queries. Combining this with `list_reports` gives you a clear picture of which profiles your team has already analyzed. It prevents you from wasting budget on duplicate report generations.

Setup guide

Set up HypeAuditor 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. 1

    Install Google ADK

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

  2. 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. 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. 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 HypeAuditor 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="HypeAuditor_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HypeAuditor 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 HypeAuditor. 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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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about HypeAuditor MCP in Google ADK

You initialize the toolset with the MCP endpoint URL provided by Vinkius. Your Gemini agent automatically discovers all ten tools and begins executing them.
Yes, the agent calls `list_countries` to get valid regional codes. It then applies those codes to the `search_influencers` tool to find local creators.
Your agent calls `get_influencer_report` over the MCP Server to fetch the raw metrics. Then, you write a simple Python function within your pipeline to write that JSON payload directly to a BigQuery table.
The `list_platforms` tool provides the current list of supported social networks. Your agent references this list to ensure your search queries are valid.
The MCP Server runs in a zero-trust environment that never caches your API tokens or profile reports. All social media handles and account metadata pass directly to Google Cloud without persistent storage on Vinkius.

Start using the HypeAuditor MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for HypeAuditor. Just plug in your AI agents and start using Vinkius.

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