How to Use the Modash MCP in OpenAI Agents SDK

Build production-grade influencer vetting agents using the Modash MCP Server and OpenAI Agents SDK.

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Connect Modash MCP to OpenAI Agents SDK

Create your Vinkius account to connect Modash 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 Modash with OpenAI Agents SDK

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Automated influencer discovery with OpenAI Agents SDK

Your agent runs `search_instagram`, `search_tiktok`, or `search_youtube` to find candidates based on your specific campaign needs. It parses thousands of profiles in seconds without you writing a single line of custom scraping code. Once the agent identifies high-potential creators, it triggers deeper analysis. You get a clean pipeline that moves from broad search to qualified lead generation automatically.

Strict data validation for your agent system

Don't trust raw social numbers. Use `get_instagram_report`, `get_tiktok_report`, or `get_youtube_report` to feed your agent verified engagement data before it makes a final selection. This MCP Server provides the hard metrics your agent needs to filter out fake followers and synthetic engagement. Your production agent makes decisions based on real data, not guesswork.

Contextual profile lookups during agent execution

Sometimes your agent needs the full picture. The `get_raw_profile` tool delivers unfiltered, real-time data directly into your agent's context window for precise decision-making. It handles the heavy lifting of API requests while your agent focuses on campaign logic. This keeps your agent's memory focused on high-value influencer attributes.

Setup guide

Set up Modash 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 Modash tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Modash MCP in OpenAI Agents SDK

You define the tools in your agent constructor and let the OpenAI Agents SDK handle discovery. Simply call the search tools by name in your agent's prompt to start scanning.

Yes. The server returns clean JSON objects that your agent parses natively. You'll get structured responses ready for immediate use in your campaign workflows.

Absolutely. You can request fresh reports for any creator during your agent's runtime. This ensures your agent is always working with current engagement metrics.

You provide your key as an environment variable to the server. The server manages the connection, keeping your credentials out of your agent's core logic.

Your influencer data remains within your controlled agent environment. We only pipe the specific profile information you request through the secure server connection.

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