How to Use the Inbox (useinbox.com) MCP in OpenAI Agents SDK

Q: How do I connect Inbox (useinbox.com) to my OpenAI Agents SDK pipeline?

Install openai-agents and initialize MCPServerStreamableHttp using your Vinkius endpoint. Pass this server instance in the mcpservers list when creating your Agent. The agent automatically discovers the 10 read-only tools.

Q: Can my OpenAI Agents SDK agent send emails using the Inbox (useinbox.com) toolset?

No, this server only exposes read tools like listsenders and listcampaigns to your OpenAI Agents SDK agent. It cannot send emails, modify templates, or delete contacts, which keeps your production data safe from agent mistakes.

Q: Does this integration support caching tool definitions?

Yes, you set cacheToolsList=True in your OpenAI Agents SDK configuration. This prevents the agent from refetching the tool definitions for listwebhooks on every request, reducing latency during high-volume runs.

Run production-grade email marketing pipelines with the OpenAI Agents SDK and the Inbox (useinbox.com) MCP Server.

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Connect Inbox (useinbox.com) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Inbox (useinbox.com) 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 Inbox (useinbox.com) with OpenAI Agents SDK

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Run OpenAI Agents SDK Audits on Inbox Campaigns

The `get_campaign_report` tool gives your agent raw performance metrics directly inside your OpenAI Agents SDK runtime. Your agent reads actual open rates, bounces, and clicks to determine which email designs fail under pressure. By routing this data through the SDK's built-in tracing, you see exactly how the agent parses metrics before deciding to trigger the next step. You get clear visibility into the decision-making process without guessing why an agent flagged a specific sender.

Verify Subscriber Lists with OpenAI Agents SDK

The `list_contact_lists` tool pulls your active subscriber segments so your OpenAI Agents SDK agent can verify list health before launching new campaigns. It checks segment sizes and matches them against your target parameters. Safety guardrails in the SDK validate the agent's findings against your custom schemas before it targets any contact list. If the agent tries to run an analysis on an empty list, the SDK blocks the action before it hits your production pipeline.

Inspect Templates via OpenAI Agents SDK and MCP

The `list_templates` tool exposes your saved layouts to your OpenAI Agents SDK workflow for instant design reviews. Your agent checks the raw HTML and structure to ensure your branding remains consistent across all runs. Because the SDK supports agent-to-agent handoffs, a specialist copywriter agent can review the templates, then hand off the task to a deliverability agent. This multi-agent setup keeps your email marketing pipeline organized and clean.

Setup guide

Set up Inbox (useinbox.com) 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 Inbox (useinbox.com) tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents` and initialize `MCPServerStreamableHttp` using your Vinkius endpoint. Pass this server instance in the `mcp_servers` list when creating your Agent. The agent automatically discovers the 10 read-only tools.

No, this server only exposes read tools like `list_senders` and `list_campaigns` to your OpenAI Agents SDK agent. It cannot send emails, modify templates, or delete contacts, which keeps your production data safe from agent mistakes.

Use the OpenAI developer dashboard to trace every tool call like `list_automations` or `get_account`. The dashboard records the exact inputs, outputs, and execution times for every step of your agent's run.

Yes, you set `cacheToolsList=True` in your OpenAI Agents SDK configuration. This prevents the agent from refetching the tool definitions for `list_webhooks` on every request, reducing latency during high-volume runs.

Your subscriber email addresses and list names retrieved by `list_contacts` remain inside the Vinkius secure V8 sandbox. No raw contact data is written to disk or stored externally, keeping your customer records completely isolated.

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