How to Use the Mav MCP in OpenAI Agents SDK
Get Mav running in OpenAI Agents SDK to automate your SMS lead qualification playbooks without manual oversight.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Automatic tool discovery for OpenAI Agents SDK
Your agent inspects the Mav MCP server upon startup to identify available playbooks. It maps your SMS logic directly into the execution flow without custom glue code. This setup keeps your production agent system clean. By enabling cacheToolsList, you minimize network overhead during high-frequency lead qualification tasks.
Production safety with built-in guardrails
Every action your agent takes undergoes validation before it hits the SMS gateway. This prevents the bot from sending unauthorized messages or malformed lead data. Tracing happens inside the OpenAI dashboard. You see exactly what your agent decided to do and why it chose that specific Mav playbook.
Reliable handoffs between specialized agents
You can delegate complex lead routing to secondary agents within the OpenAI environment. Mav acts as the primary interface for your SMS communication layer. This structure ensures your primary agent stays focused on high-level strategy. It triggers the Mav server only when it needs to initiate a customer conversation.
Set up Mav MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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.
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()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mav. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Mav MCP in OpenAI Agents SDK
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