How to Use the Mav MCP in OpenAI Agents SDK

Q: Can Mav manage lead opt-outs within OpenAI Agents SDK?

Absolutely. Your agent can invoke optoutlead the second a user requests to stop receiving messages. This keeps your SMS compliance tight and avoids manual cleanup.

Q: Does Mav work with custom playbooks in OpenAI Agents SDK?

It does. You just call listplaybooks to see what is available for your specific use case. Your agent can then select the right one based on the lead's profile.

Connect Mav to your OpenAI Agents SDK production pipeline to automate SMS lead qualification and scheduling.

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Connect Mav MCP to OpenAI Agents SDK

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

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Trigger SMS playbooks with OpenAI Agents SDK

Your agent uses `create_lead` to drop new contacts into your SMS workflow. It triggers the right sequence immediately so you don't lose momentum with cold inbound leads. Once the lead is active, your agent uses `get_playbook` to see what the next step looks like. It keeps the conversation moving without you needing to write a single line of manual follow-up code.

Manage lead state via OpenAI Agents SDK

Use `update_lead` to sync contact details from your CRM directly into the SMS flow. Your agent keeps the data fresh so every text message feels relevant to the person receiving it. If the conversation goes off-track, your agent calls `stop_playbook` to halt the automation. You keep total control over the experience while your agent handles the heavy lifting.

Monitor lead activity in OpenAI Agents SDK

Your agent calls `list_activities` to pull a report of recent SMS interactions. It checks the pulse of your lead pipeline so you know exactly who is replying and who needs a nudge. Use `list_leads` to get a bird's-eye view of your entire database. It helps your agent decide which leads require human intervention versus those that are ready for another automated touch.

Setup guide

Set up Mav 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 Mav tools at runtime.
3

Create your Agent

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

Run the agent

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

You instantiate an MCPServerStreamableHttp object pointing to your Vinkius endpoint. Pass that into your Agent constructor's mcp_servers list, and the SDK handles the rest.

Absolutely. Your agent can invoke `opt_out_lead` the second a user requests to stop receiving messages. This keeps your SMS compliance tight and avoids manual cleanup.

Yes. Since the SDK logs every tool call, you can trace exactly when `list_activities` was run. You'll see every request the agent makes to the server in your dashboard.

It does. You just call `list_playbooks` to see what is available for your specific use case. Your agent can then select the right one based on the lead's profile.

The server handles all PII through the Vinkius sandbox. Your agent only sees the lead metadata it requests, and all transmissions are isolated from other processes.

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