How to Use the HypeAuditor MCP in AutoGen

Q: Can AutoGen agents verify audience authenticity using HypeAuditor?

Yes. Agents call getinfluencerreport to inspect the audience quality score and flag suspicious follower patterns.

Q: How does AutoGen handle API rate limits during multi-agent debates?

The coordinator agent calls getratelimit to monitor usage. If limits are tight, the agent instructs others to prioritize high-value searches.

Q: Can I run AutoGen campaigns across multiple social platforms?

Yes. Agents use listplatforms to identify supported channels, then search for creators across Instagram, YouTube, or TikTok.

Let your AutoGen agents debate and select the best creators using real-time HypeAuditor data.

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Connect HypeAuditor MCP to AutoGen

Create your Vinkius account to connect HypeAuditor to AutoGen 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 HypeAuditor with AutoGen

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Multi-agent creator debate using AutoGen

The `search_influencers` tool supplies raw candidate lists to your AutoGen agent group chat. One agent filters candidates by category, while another uses the data to debate budget constraints. This collaborative workflow ensures that influencer selection isn't left to a single model's guess. The agents analyze the structured search results together to reach a consensus on the best creators.

Cross-examine influencer reports via MCP Server tools

The `get_influencer_report` tool delivers granular audience quality metrics directly to your debating agents. In AutoGen, a skeptic agent can challenge a recommendation by analyzing the fake follower ratio in the report. The agent group parses the report to verify engagement authenticity before approving any spend. This multi-perspective review happens automatically, powered by live data from the MCP Server.

Coordinate global campaigns with structured metadata

The `list_countries` tool provides the standardized country codes needed to coordinate international campaigns. Your AutoGen coordinator agent uses these codes to distribute search tasks among regional scout agents. Each scout agent searches for creators in their assigned region using localized parameters. They then compile their findings into a unified proposal for your final review.

Setup guide

Set up HypeAuditor MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes HypeAuditor tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="HypeAuditor_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent HypeAuditor data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="HypeAuditor_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent HypeAuditor data")
    print(result.messages[-1].content)

Get your connection token →

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.

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Common questions about HypeAuditor MCP in AutoGen

You register the server tools with the AutoGen agent group. All agents in the conversation can invoke tools like `search_influencers` as needed.

Yes. Agents call `get_influencer_report` to inspect the audience quality score and flag suspicious follower patterns.

The coordinator agent calls `get_rate_limit` to monitor usage. If limits are tight, the agent instructs others to prioritize high-value searches.

Yes. Agents use `list_platforms` to identify supported channels, then search for creators across Instagram, YouTube, or TikTok.

Vinkius routes all MCP tool calls through an ephemeral, zero-trust sandbox. Your account credentials and influencer search queries are never exposed to the LLM.

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