How to Use the HiDeliver MCP in OpenAI Agents SDK

Q: How do I connect HiDeliver to the OpenAI Agents SDK?

Install the framework via pip. Create an MCPServerStreamableHttp instance with your Vinkius URL and pass it to the Agent constructor in the mcpservers array.

Q: Can the agent stop a HiDeliver campaign if it detects a mistake?

Yes. Your OpenAI agent triggers canceldelivery to halt a mapped delivery trace immediately. You define the guardrails, and the agent executes the stop order.

Q: How does the HiDeliver integration handle budget limits?

The agent queries getaccountbalance before scheduling anything. If the funds look low, it pauses the workflow instead of failing mid-batch.

Connect HiDeliver to the OpenAI Agents SDK to automate email broadcasts with built-in execution guardrails.

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Connect HiDeliver MCP to OpenAI Agents SDK

Create your Vinkius account to connect HiDeliver 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 HiDeliver with OpenAI Agents SDK

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Perplexity

Trigger broadcasts via OpenAI Agents SDK

Your agent uses `create_delivery` to log and schedule fresh email pickups directly from your Python backend. Instead of manually exporting lists, you let the OpenAI framework manage the send while enforcing strict constraints on volume. You pull active requests using `list_deliveries` and check specific parameters with `get_delivery`. If a specialized agent flags an error in the copy, it instantly calls `update_delivery` or `cancel_delivery` before the batch hits the SMTP servers.

Audit marketing budgets in real time

The `get_account_balance` tool evaluates your remaining tokens or cash thresholds before any campaign fires. Running out of credits mid-send destroys deliverability, so your agent checks the ledger first. When you need to trace costs, `list_transactions` pulls the global ledger events into the OpenAI dashboard. Your finance agent isolates a single API key charge using `get_transaction` and verifies it against the `get_profile` authentication logic.

Secure MCP Server integration

Hooking up this MCP Server takes exactly one endpoint token from Vinkius. You pass the `MCPServerStreamableHttp` configuration to your agent constructor, and the OpenAI SDK auto-discovers all nine tools instantly. Setting `cacheToolsList=True` cuts down initialization latency. The ephemeral V8 Isolate Sandbox ensures your agent executes email operations without leaking memory or leaving persistent backdoors open.

Setup guide

Set up HiDeliver 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 HiDeliver tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about HiDeliver MCP in OpenAI Agents SDK

Install the framework via pip. Create an `MCPServerStreamableHttp` instance with your Vinkius URL and pass it to the Agent constructor in the `mcp_servers` array.

Yes. Your OpenAI agent triggers `cancel_delivery` to halt a mapped delivery trace immediately. You define the guardrails, and the agent executes the stop order.

The agent queries `get_account_balance` before scheduling anything. If the funds look low, it pauses the workflow instead of failing mid-batch.

No. The framework auto-discovers every tool from the MCP server. You just provide the connection parameters and the agent figures out the rest.

Vinkius processes your recipient addresses and marketing copy inside a zero-trust, ephemeral sandbox. The connection drops immediately after the agent fires the API request, leaving zero residual data behind.

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