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How to Use the Zinrelo MCP in OpenAI Agents SDK

Manage customer loyalty programs with the OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Zinrelo MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zinrelo 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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Process Loyalty Actions via MCP Server

Your agent can execute core loyalty functions. It'll handle everything from issuing points for a purchase using `award_points_purchase` to deducting points manually with `deduct_points`. This keeps your customer engagement flow running smoothly. Need to onboard a new user? The `enroll_member` tool handles both enrollment and updates, keeping your member data current. It also lets you list all users via `list_loyalty_members`.

Retrieve Specific Member Data

The agent can pull specific account details for any user. Use `get_member_details` to get a full profile or check their transaction history by listing records with `list_member_transactions`. This makes it simple to verify what a customer has accrued. Want to see how points are distributed? You can read the current settings using `get_loyalty_settings`, which is critical for verifying your program's rules.

Manage Rewards and Points

The MCP Server gives you full control over rewards. An agent can redeem a reward—like sending out a coupon—using `redeem_reward`. You can also award points for custom activities with `award_points_activity`. It's built for reliable, production-grade point management. These tools are designed to work within your existing guardrails, so the agent won't run anything outside of established business logic.

Setup guide

Set up Zinrelo 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. 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. 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 Zinrelo tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zinrelo. 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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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Zinrelo MCP in OpenAI Agents SDK

The MCP Server exposes all loyalty functions directly to your agents. Your AI client doesn't need custom code; it just calls the necessary tool, like `enroll_member`. The agent handles the rest.
The built-in guardrails validate every action before execution. If you try an invalid point deduction, the agent stops and throws a validation error immediately. You never risk silent failures.
Absolutely. You can call `list_member_transactions` to pull the full history of points, purchases, and redemptions for any member ID you pass in. It gives you a clear audit trail.
Yes. Because the OpenAI Agents SDK is built for production, it supports full tracing via the dashboard. You can track every call to the MCP Server and audit who did what.
This server handles sensitive financial and membership data, including point totals, member IDs, and transaction records. It's crucial to manage access tokens securely.

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