Bring Loyalty Programs
to OpenAI Agents SDK
Learn how to connect Zinrelo to OpenAI Agents SDK and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the Zinrelo MCP Server?
Connect your Zinrelo account to any AI agent to automate your loyalty and rewards operations. This MCP server enables your agent to interact with loyalty members, award points for activities or purchases, and manage reward redemptions directly from natural language.
What you can do
- Member Management — Enroll new customers and retrieve detailed loyalty profiles, including tier status and point balances
- Points Automation — Award points for custom activities or purchase transactions instantly
- Reward Processing — Redeem points for rewards and manage manual point deductions when necessary
- Activity Auditing — List comprehensive transaction histories for any loyalty member to track earnings and usage
- Program Oversight — Access high-level loyalty settings and account configuration details
How it works
1. Subscribe to this server
2. Enter your Zinrelo Partner ID and API Key
3. Start managing your loyalty program from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing Managers — Monitor loyalty member growth and award points for special campaigns via natural language
- Customer Support — Quickly check a customer's point balance or transaction history during interactions
- E-commerce Owners — Automate the enrollment of new members and tracking of reward activities
Built-in capabilities (9)
Award points for a custom activity
Award points for a purchase
Manually deduct points from a user
Enroll or update a loyalty member
Get account loyalty settings
Get details for a specific loyalty member
List all loyalty program members
List transaction history for a member
g., coupon). Redeem points for a reward
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 9 tools from Zinrelo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Zinrelo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Zinrelo in OpenAI Agents SDK
Zinrelo and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Zinrelo to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Zinrelo in OpenAI Agents SDK
The Zinrelo MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Zinrelo for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Zinrelo MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I award points for a specific activity?
Use the award_points_activity tool with the member's email and the specific activity_id defined in your Zinrelo dashboard.
Can I see a history of point redemptions for a user?
Yes, the list_member_transactions tool retrieves a complete history of all point earnings and redemptions for a target member.
Is it possible to manually deduct points?
Absolutely. Use the deduct_points tool to remove a specific amount of points from a user's loyalty balance.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.