How to Use the Postscript MCP in OpenAI Agents SDK

Q: How do I connect Postscript to my OpenAI Agents SDK project?

Install the MCP server and initialize it using the MCPServerStreamableHttp class. Pass the server instance into your agent constructor to enable automatic tool discovery.

Q: Can Postscript tools be cached in OpenAI Agents SDK?

Yes, set cacheToolsList=True when configuring your agent. This reduces latency by preventing the agent from re-querying the server for tool definitions on every turn.

Sync Shopify data and trigger SMS flows directly within your OpenAI Agents SDK production environment.

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Connect Postscript MCP to OpenAI Agents SDK

Create your Vinkius account to connect Postscript to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Postscript with OpenAI Agents SDK

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Automate subscriber lifecycle management

Your agent handles user data entry by calling `create_subscriber` or `update_subscriber` based on real-time Shopify events. This keeps your SMS lists clean without manual database exports. Built-in validation ensures you don't break compliance rules when adding new contacts. Your agent maintains state across every session to prevent duplicate records.

Monitor campaign performance via MCP Server

Use `list_campaigns` and `get_campaign` to pull live metrics into your agent's decision loop. You'll see exactly how your SMS marketing performs without leaving your code. This data feed allows your agent to adjust messaging strategies on the fly. It turns static performance numbers into active, data-driven conversation scripts.

Manage webhook triggers for real-time sync

Your agent configures its own event listeners by calling `create_webhook` and `list_webhooks`. It ensures your system reacts instantly to subscriber changes. Deleting stale endpoints is just as simple with `delete_webhook`. This keeps your integration footprint small and your event stream noise-free.

Setup guide

Set up Postscript 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 Postscript tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the MCP server and initialize it using the `MCPServerStreamableHttp` class. Pass the server instance into your agent constructor to enable automatic tool discovery.

Yes, set `cacheToolsList=True` when configuring your agent. This reduces latency by preventing the agent from re-querying the server for tool definitions on every turn.

It does. Since your agents run in an async context, all tool calls are non-blocking. This ensures your SMS workflows don't stall your agent's reasoning loop.

They stay within the Postscript platform. Your agent only acts as a controller, sending instructions via the MCP interface to update or fetch contact information.

We keep your data siloed. Only the specific subscriber attributes required for your SMS campaigns transit through the connection, and no raw customer history is cached on the client side.

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