How to Use the AiMasher MCP in OpenAI Agents SDK

Q: Where are my campaign results stored in the OpenAI Agents SDK?

You can fetch results using listresults and cache the output locally. The agent holds the data in memory for the duration of the task lifecycle.

Build production agents with AiMasher and OpenAI Agents SDK to validate every action before it hits your production pipeline.

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Connect AiMasher MCP to OpenAI Agents SDK

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

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Campaign creation with safety checks

Use `create_campaign` to push new marketing initiatives directly from your agent. Since you are using the OpenAI Agents SDK, your system catches invalid inputs before they reach the API. This setup prevents runtime errors during deployment. You define the template, the agent executes the call, and the built-in guardrails confirm the structure matches your requirements.

Content generation within the SDK

Trigger `generate_content` to pull fresh assets into your agent flow. The SDK handles the heavy lifting while you keep the logic clean and observable. Tracing every call inside the OpenAI dashboard makes debugging trivial. You see exactly when the tool fires and how the content output returns to your agent.

Monitor your account status

Run `check_aimasher_status` to ensure your connection remains active. A healthy MCP server keeps your production agents running without manual restarts. Access your account data with `get_account` to verify credentials or limits. This keeps your agent logic aware of your current standing within the platform.

Setup guide

Set up AiMasher 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 AiMasher tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate AiMasher 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="AiMasher Agent",
            instructions="You have access to AiMasher 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 AiMasher. 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 AiMasher MCP in OpenAI Agents SDK

Install the library and define an MCPServerStreamableHttp instance with your endpoint. Pass that into your Agent constructor to let the framework auto-discover the available tools.

Yes. The SDK validates every tool output against your schemas. If a tool returns malformed data, the agent halts before it can cause downstream issues.

It does. Wrap your server calls in an async context manager to keep your event loop responsive. This is vital for maintaining throughput in a busy agent system.

You can fetch results using `list_results` and cache the output locally. The agent holds the data in memory for the duration of the task lifecycle.

Your campaign parameters and template content stay isolated within your session. Vinkius manages the transport over an encrypted channel, ensuring only your agent sees the raw asset data.

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