How to Use the Mailjet MCP in OpenAI Agents SDK
Trigger transactional emails and manage subscriber lists directly from your OpenAI Agents SDK workflow.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mailjet MCP to OpenAI Agents SDK
Create your Vinkius account to connect Mailjet 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 transactional email delivery
Your agent uses `send_transactional_email` to push notifications through the Mailjet v3.1 API. It handles the JSON payload structure required for reliable delivery. This setup removes manual relay configuration. Your agent sends alerts the moment your internal logic hits the trigger, keeping your event-driven architecture tight.
Sync contacts with OpenAI Agents SDK
Use `create_new_contact` and `add_contact_to_list` to maintain your database state. Your agent reads incoming data and updates your lists without leaving the execution flow. This ensures your CRM stays current. When the agent identifies a lead, it pushes the data directly into your Mailjet environment, avoiding batch processing delays.
Analyze performance data inside your MCP Server
Query your marketing reach using `get_campaign_performance` and `get_campaign_details`. The agent pulls these metrics to provide feedback on your latest outreach. You get visibility into open rates and clicks without switching tabs. This MCP Server gives your agent the data it needs to adjust messaging strategy on the fly.
Set up Mailjet 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 Mailjet tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Mailjet tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Mailjet 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="Mailjet Agent",
instructions="You have access to Mailjet 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 Mailjet. 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 Mailjet MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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