Mailsac MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mailsac through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Mailsac Assistant",
instructions=(
"You help users interact with Mailsac. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mailsac"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Mailsac MCP Server
Connect your Mailsac account to any AI agent to automate your email testing and inbox management. This MCP server enables your agent to reserve private email addresses, retrieve and search for messages, and inspect HTML or plain text bodies directly from natural language interfaces.
The OpenAI Agents SDK auto-discovers all 9 tools from Mailsac through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mailsac, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Inbox Oversight — List and manage your reserved (enhanced) addresses and custom domains
- Instant Retrieval — Fetch a list of messages received by any address in your account instantly
- Content Extraction — Retrieve sanitized HTML or raw plain text bodies to extract verification codes or links
- Inbox Maintenance — Permanently delete individual messages or clear entire inboxes via simple commands
- Infrastructure Management — Reserve new private addresses programmatically for isolated testing flows
- Global Search — Query messages across all your addresses using advanced search parameters (requires paid tier)
The Mailsac MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Mailsac to OpenAI Agents SDK via MCP
Follow these steps to integrate the Mailsac MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Mailsac
Why Use OpenAI Agents SDK with the Mailsac MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mailsac through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Mailsac + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mailsac MCP Server delivers measurable value.
Automated workflows: build agents that query Mailsac, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mailsac, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mailsac tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mailsac to resolve tickets, look up records, and update statuses without human intervention
Mailsac MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Mailsac to OpenAI Agents SDK via MCP:
delete_inbox_message
Permanently remove a message from an inbox
get_html_message_body
Get the sanitized HTML body of a specific message
get_plain_text_body
Get the plain text body of a specific message
list_custom_domains
List custom domains linked to the account
list_inbox_messages
List messages in a specific inbox
list_reserved_addresses
List all reserved (enhanced) email addresses
release_reserved_address
Delete/Release a reserved email address
reserve_new_address
Reserve a specific email address
search_account_messages
Requires a paid Mailsac tier. Use query params like to, from, subject. Search for messages across all addresses
Example Prompts for Mailsac in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mailsac immediately.
"List all my reserved email addresses in Mailsac."
"Fetch the plain text content of the last email sent to 'test-user@mailsac.com'."
"Reserve a new private address 'automation-flow@mailsac.com'."
Troubleshooting Mailsac MCP Server with OpenAI Agents SDK
Common issues when connecting Mailsac to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mailsac + OpenAI Agents SDK FAQ
Common questions about integrating Mailsac MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Mailsac with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mailsac to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.