How to Use the Mailify (Sarbacane) MCP in OpenAI Agents SDK

Q: Can the OpenAI Agents SDK handle high-volume Mailify (Sarbacane) contact updates?

Yes. The addcontacttobook and updatebookcontact tools process requests sequentially or in parallel batches. You should set cacheToolsList=True in your SDK configuration to prevent redundant schema lookups during large operations.

Q: How does the agent know which address book to use?

It first calls listaddressbooks to retrieve the active list IDs. Once it identifies the correct target, it passes that ID to tools like getaddressbookdetails or listbookcontacts.

Run production email marketing agents with the OpenAI Agents SDK and Mailify (Sarbacane).

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Connect Mailify (Sarbacane) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mailify (Sarbacane) 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 Mailify (Sarbacane) with OpenAI Agents SDK

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Sync contacts with OpenAI Agents SDK guardrails

This MCP Server exposes tools like `add_contact_to_book` and `update_book_contact` to keep your subscriber lists updated. Your agents can add new email signups or update existing profiles in your address books without manual CSV imports. When you use this with the OpenAI Agents SDK, the built-in guardrails validate contact modifications before they execute. You don't have to worry about your agent making bad API calls or corrupting subscriber databases during high-volume syncs.

Track campaign metrics via the OpenAI dashboard

The `get_campaign_performance` tool pulls real-time open rates, click rates, and delivery statistics directly from your active marketing campaigns. You can also fetch specific metadata using `get_campaign_details` to build analytical summaries. Agents run these tools asynchronously, feeding the raw data into OpenAI's tracing dashboard. This lets you see exactly when the agent requested the stats and how it formatted the report, making debugging instant.

Manage subscriber lists programmatically

The `list_address_books` and `list_book_contacts` tools give your agents full visibility into your CRM's structure. If a user requests a removal, the agent invokes `delete_book_contact` to process the opt-out immediately. This setup keeps you compliant with data privacy laws by handling opt-outs programmatically. Your agent automatically checks the active lists, locates the subscriber, and purges their record without human intervention.

Setup guide

Set up Mailify (Sarbacane) 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 Mailify (Sarbacane) tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the SDK, then initialize the HTTP MCP Server stream using the Vinkius endpoint. Pass the server instance directly into your Agent constructor using the `mcp_servers` argument to enable auto-discovery.

Yes. The `add_contact_to_book` and `update_book_contact` tools process requests sequentially or in parallel batches. You should set `cacheToolsList=True` in your SDK configuration to prevent redundant schema lookups during large operations.

It first calls `list_address_books` to retrieve the active list IDs. Once it identifies the correct target, it passes that ID to tools like `get_address_book_details` or `list_book_contacts`.

You control tool access at the agent level by defining specific tool filters or using specialized handoffs. This ensures your reporting agent can only call `get_campaign_performance` while your compliance agent handles `delete_book_contact`.

Absolutely. Vinkius runs the server in an isolated V8 sandbox, meaning your contacts' email addresses and names never persist on our servers. All payloads containing contact data pass through encrypted ephemeral channels directly to Mailify.

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