How to Use the Zinrelo MCP in OpenAI Agents SDK
Manage customer loyalty programs with the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Zinrelo MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Zinrelo tools as native definitions — JSON schemas resolve automatically. - 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.
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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Common questions about Zinrelo MCP in OpenAI Agents SDK
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