Zinrelo MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Zinrelo through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Zinrelo Assistant",
instructions=(
"You help users interact with Zinrelo. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Zinrelo"
)
print(result.final_output)
asyncio.run(main())
* 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
About 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.
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.
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
The Zinrelo MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Zinrelo to OpenAI Agents SDK via MCP
Follow these steps to integrate the Zinrelo MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Zinrelo
Why Use OpenAI Agents SDK with the Zinrelo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Zinrelo through the Model Context Protocol.
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
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Zinrelo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Zinrelo MCP Server delivers measurable value.
Automated workflows: build agents that query Zinrelo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Zinrelo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Zinrelo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Zinrelo to resolve tickets, look up records, and update statuses without human intervention
Zinrelo MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Zinrelo to OpenAI Agents SDK via MCP:
award_points_activity
Award points for a custom activity
award_points_purchase
Award points for a purchase
deduct_points
Manually deduct points from a user
enroll_member
Enroll or update a loyalty member
get_loyalty_settings
Get account loyalty settings
get_member_details
Get details for a specific loyalty member
list_loyalty_members
List all loyalty program members
list_member_transactions
List transaction history for a member
redeem_reward
g., coupon). Redeem points for a reward
Example Prompts for Zinrelo in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Zinrelo immediately.
"Show me the loyalty profile for 'customer@example.com'."
"Award 500 points to 'jane.doe@example.com' for a $50.00 purchase."
"List all transactions for 'john.smith@example.com'."
Troubleshooting Zinrelo MCP Server with OpenAI Agents SDK
Common issues when connecting Zinrelo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Zinrelo + OpenAI Agents SDK FAQ
Common questions about integrating Zinrelo MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect Zinrelo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zinrelo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.