How to Use the Influencers Club MCP in OpenAI Agents SDK

Q: How do I configure the Influencers Club MCP Server inside the OpenAI Agents SDK?

Install openai-agents and initialize MCPServerStreamableHttp with your Vinkius endpoint. Pass this server instance to your Agent constructor inside the mcpservers list. The SDK automatically discovers the 8 MCP tools like searchcreators without extra boilerplate.

Q: Can I use Influencers Club with the OpenAI Agents SDK to analyze audience overlap?

Yes, you can instruct your agent to call getaudienceoverlap to compare multiple creator handles. The agent handles the tool execution natively, making it easy to identify duplicate followers across potential partners.

Q: How does the Influencers Club integration prevent runaway API spend in the OpenAI Agents SDK?

You can write agent-level guardrails that query getusage before executing large search loops. The OpenAI Agents SDK lets you inspect these parameters before the model runs the actual tools.

Q: What is the fastest way to pull post history using this MCP Server?

Have your agent call getcreatorposts to pull recent content directly into the prompt context. This lets the agent analyze the tone and engagement of a creator's feed in real-time.

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Connect Influencers Club MCP to OpenAI Agents SDK

Create your Vinkius account to connect Influencers Club 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 Influencers Club with OpenAI Agents SDK

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Sourcing Creators via OpenAI Agents SDK

The `search_creators` tool gives your Python agents the ability to filter social media profiles by specific metrics. Your agent can run targeted searches, identify matching accounts, and then use `get_similar_creators` to build a list of lookalike profiles. Because the OpenAI Agents SDK handles tool auto-discovery, you only need to pass the server configuration to your agent. The SDK's built-in guardrails prevent the MCP agent from burning through your API budget on wide-open search queries.

Verifying Creator Profiles and Audience Overlaps

The `enrich_by_handle` tool retrieves complete social profiles directly from a handle, while `enrich_by_email` converts raw email addresses into structured creator data. These tools let your agents verify whether a creator fits your target demographic before initiating outreach. Using the OpenAI Agents SDK, you can set up a multi-agent system where one agent fetches raw profiles and hands them off to an audit agent. That audit agent then runs `get_audience_overlap` to calculate shared followers, keeping all execution traces visible on your OpenAI dashboard.

Monitoring API Budgets in Production

The `get_usage` tool monitors your active API consumption and credit limits at runtime. This tool prevents your agents from failing mid-run due to exhausted credits. By integrating `get_user_info` into your agent loops, you can halt automated workflows before they hit hard limits. The OpenAI HTTP server streamable setup caches the MCP tool list to keep latency low while checking your account status.

Setup guide

Set up Influencers Club 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 Influencers Club tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Influencers Club 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="Influencers Club Agent",
            instructions="You have access to Influencers Club tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 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 OpenAI Agents SDK

Install `openai-agents` and initialize `MCPServerStreamableHttp` with your Vinkius endpoint. Pass this server instance to your Agent constructor inside the `mcp_servers` list. The SDK automatically discovers the 8 MCP tools like `search_creators` without extra boilerplate.

Yes, you can instruct your agent to call `get_audience_overlap` to compare multiple creator handles. The agent handles the tool execution natively, making it easy to identify duplicate followers across potential partners.

You can write agent-level guardrails that query `get_usage` before executing large search loops. The OpenAI Agents SDK lets you inspect these parameters before the model runs the actual tools.

Have your agent call `get_creator_posts` to pull recent content directly into the prompt context. This lets the agent analyze the tone and engagement of a creator's feed in real-time.

All requests for emails and handles pass through Vinkius's zero-trust V8 Isolate sandbox. Your API keys are encrypted at rest, and the server never stores the social media profiles or contact details retrieved by the tools.

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