How to Use the HypeAuditor MCP in OpenAI Agents SDK

Q: How does the HypeAuditor MCP Server handle rate limits within the OpenAI Agents SDK?

The agent calls getratelimit to check your current quota. It uses this real-time count to pace requests, avoiding API blocks during large-scale runs.

Q: Can I filter creators by platform using HypeAuditor and the OpenAI Agents SDK?

Yes, your agent uses listplatforms through the MCP connection to see what networks are available. Then it passes those platforms into searchinfluencers to narrow down the search.

Q: How do I run a batch report analysis with HypeAuditor in my OpenAI Agents SDK pipeline?

You instruct the agent to call getinfluencerreport for each creator ID found during the search phase. The SDK handles these calls sequentially or in parallel depending on your agent configuration.

Q: What helper tools are available for configuring search parameters?

The server includes listcategories, listcountries, and listlanguages. Your agent calls these tools to map user requests to valid API parameters.

Run production-ready influencer vetting agents with OpenAI Agents SDK and real-time HypeAuditor metrics.

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Connect HypeAuditor MCP to OpenAI Agents SDK

Create your Vinkius account to connect HypeAuditor to OpenAI Agents SDK 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 OpenAI Agents SDK

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Target creators with precision filters

The `search_influencers` tool lets your agent query the database using precise criteria like country, platform, and category. Your agent parses these parameters directly from user prompts to locate profiles that match your exact campaign requirements. You get back structured lists containing creator IDs and basic handles. From there, the agent can loop through the results to find candidates who match your brand guidelines, eliminating manual search time.

Pull deep metrics with this MCP Server

The `get_influencer_report` tool pulls granular audience demographics and engagement metrics for any selected creator. Your agent uses this data to verify if an influencer's audience is actually real. The OpenAI Agents SDK runs validation checks on these reports before passing the data to other agents. This prevents your system from acting on incomplete or corrupted profile data during automated campaigns.

Track API usage and limits automatically

The `get_rate_limit` tool tracks your remaining API quota to prevent unexpected execution failures. Your agent checks this status before initiating high-volume searches or generating large batches of reports. If the quota runs low, the agent can pause operations or alert your team via the dashboard. This keeps your production pipelines running smoothly without hitting hard API blocks.

Setup guide

Set up HypeAuditor MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all HypeAuditor tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives HypeAuditor tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate HypeAuditor tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="HypeAuditor Agent",
            instructions="You have access to HypeAuditor tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 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 OpenAI Agents SDK

The agent calls `get_rate_limit` to check your current quota. It uses this real-time count to pace requests, avoiding API blocks during large-scale runs.

Yes, your agent uses `list_platforms` through the MCP connection to see what networks are available. Then it passes those platforms into `search_influencers` to narrow down the search.

You instruct the agent to call `get_influencer_report` for each creator ID found during the search phase. The SDK handles these calls sequentially or in parallel depending on your agent configuration.

The server includes `list_categories`, `list_countries`, and `list_languages`. Your agent calls these tools to map user requests to valid API parameters.

Vinkius hosts the MCP server in an isolated sandbox, meaning your API credentials and influencer report data remain ephemeral. No raw influencer metrics or account metadata are stored on our servers after the request completes.

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