How to Use the Minutemailer MCP in OpenAI Agents SDK
Build production email workflows in OpenAI Agents SDK by connecting your Minutemailer account to your agent system.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Minutemailer MCP to OpenAI Agents SDK
Create your Vinkius account to connect Minutemailer 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.
Automate contact management with OpenAI Agents SDK
Your agent can now handle your subscriber lists without you writing a single manual sync script. It uses `create_contact` to add new leads directly from your conversation context. Everything stays in sync because the agent checks your existing database using `list_contacts` before making changes. It keeps your subscriber counts accurate and prevents duplicate entries.
Programmatic template selection for your agent
Stop digging through your dashboard to find the right email copy. Your agent pulls available designs using `list_templates` to prepare your next campaign. It matches the right content to your current project requirements instantly. You get the right message out the door without context switching.
Monitor account activity in real time
You need to know if your messages are landing. Your agent queries `list_events` to show you exactly what happened with your recent sends. It also checks `get_account_info` to keep tabs on your usage limits. You stay informed about your account health through your standard agent dashboard.
Set up Minutemailer 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 Minutemailer tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Minutemailer tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Minutemailer 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="Minutemailer Agent",
instructions="You have access to Minutemailer 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 Minutemailer. 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 Minutemailer MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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