How to Use the NiftyImages MCP in OpenAI Agents SDK

Manage personalized email assets directly inside your OpenAI Agents SDK workflow without switching tabs or manual API calls.

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Connect NiftyImages MCP to OpenAI Agents SDK

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

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Automate image and timer updates

Your agent can trigger `update_psd_image` or `update_timer` to refresh email content based on real-time triggers. This eliminates the need for manual edits when campaign deadlines shift. By injecting this MCP Server into your agent, you keep production assets aligned with your data store. The agent handles the requests while you monitor execution through the OpenAI dashboard.

Track campaign performance metrics

Call `get_image_stats` or `get_widget_stats` to pull performance data directly into your agent's reasoning loop. You get the raw numbers without leaving your development environment. This gives your agent the context needed to optimize campaigns. It identifies underperforming assets by checking the stats returned from these specific tools.

Sync datastore records instantly

Use `add_datastore_record` and `delete_datastore_record` to maintain your subscriber lists or dynamic variables. The agent acts as the bridge between your logic and the platform. It keeps your data clean by listing fields with `list_datastore_fields` before any write operation. This ensures your agent only pushes valid data to the correct locations.

Setup guide

Set up NiftyImages 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 NiftyImages tools at runtime.
3

Create your Agent

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

Run the agent

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

Store your API key in a secure environment variable. The MCP Server uses this token to authenticate requests made by your OpenAI Agents SDK agent.

Yes. Since your agent auto-discovers every tool, you can chain them inside your agent's logic. It treats them like any other function call.

The server returns an error code. Your OpenAI Agents SDK agent will receive this status, allowing you to implement retry logic or log the failure.

You can loop through tool calls in your code. The agent executes each `update_psd_image` call sequentially as defined in your orchestration logic.

Yes. This MCP Server only touches the specific records you address via `add_datastore_record`. No data is stored on the Vinkius infrastructure.

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