How to Use the Mailsac MCP in OpenAI Agents SDK

Q: How do I search Mailsac emails using OpenAI Agents SDK?

Use the searchaccountmessages tool by passing your query parameters directly to your agent. The agent will execute the search across your account and return matching messages. This is the fastest way to find specific transactional emails during a test.

Q: Can OpenAI Agents SDK automatically clear old test mail?

Yes. You can trigger deleteinboxmessage or releasereservedaddress after your test assertions pass. This keeps your Mailsac inbox clean and ensures your next test run starts from a blank slate.

Q: Is my email data safe with this MCP Server?

Your test data is ephemeral. By using deleteinboxmessage immediately after parsing, you ensure sensitive tokens don't linger in the Mailsac system longer than necessary.

Test transactional emails directly in your OpenAI Agents SDK workflow. Automate inbox validation without leaving your Python agent.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mailsac MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mailsac 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.

GDPR Free for Subscribers

Setup Mailsac with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate email verification for OpenAI Agents SDK

Your agent can now programmatically inspect incoming mail to confirm password resets or verification links. Use `list_inbox_messages` to poll for new arrivals and parse the content immediately. This MCP Server handles the connection so your agent stays focused on the workflow logic. You get reliable data without building custom SMTP listeners or polling scripts.

Read and parse email content dynamically

Get the exact message content your users see by calling `get_html_message_body` or `get_plain_text_body`. Your agent extracts verification codes or links directly from the payload. This removes the need for brittle regex parsing on raw email headers. The tool returns clean, readable text that your agent can process as a standard context input.

Manage test addresses via OpenAI Agents SDK

Reserve specific addresses for your test suite using `reserve_new_address` and clean them up with `release_reserved_address`. This keeps your test environment isolated and prevents cross-contamination between runs. Your agent maintains control over the address lifecycle throughout the entire testing sequence. Once the test completes, a quick call to `delete_inbox_message` keeps your mailbox footprint small.

Setup guide

Set up Mailsac 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 Mailsac tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Mailsac 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="Mailsac Agent",
            instructions="You have access to Mailsac tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mailsac. 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.

Connect Mailsac now

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 Mailsac MCP in OpenAI Agents SDK

Use the `search_account_messages` tool by passing your query parameters directly to your agent. The agent will execute the search across your account and return matching messages. This is the fastest way to find specific transactional emails during a test.

Yes. You can trigger `delete_inbox_message` or `release_reserved_address` after your test assertions pass. This keeps your Mailsac inbox clean and ensures your next test run starts from a blank slate.

Absolutely. Since the tools return structured data, you can wrap them in your existing agent guardrails. You define the validation logic for email bodies to ensure your agent only acts on legitimate verification tokens.

Your test data is ephemeral. By using `delete_inbox_message` immediately after parsing, you ensure sensitive tokens don't linger in the Mailsac system longer than necessary.

The server interfaces directly with the API. While Mailsac handles high volume, you should implement standard retry logic in your agent if you trigger frequent `list_inbox_messages` calls during heavy load.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript