Zinrelo MCP for AI. Manage Loyalty Points and Member Status Automatically
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Zinrelo manages your entire loyalty program lifecycle through a single AI connection. Use this MCP to instantly enroll members, track point balances, award points for purchases or activities, and process reward redemptions—all from natural language prompts.
What your AI can do
Award points activity
Gives points to a user based on a custom action that isn't a direct purchase.
Award points purchase
Adds points to a user’s account after they complete a transaction or make a sale.
Enroll member
Creates a new loyalty profile or updates the details of an existing customer.
Retrieve a detailed loyalty profile for a specific user, including their tier status and current point balance.
Generate a list of all active members in the entire loyalty program.
Award points to a user, differentiating between points earned from purchases or custom activities.
Execute point redemptions for specified rewards.
Pull a complete, itemized transaction history for any individual member.
Ask an AI about this
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Zinrelo: 9 Tools for Loyalty Management
Use these nine specific tools to automate every aspect of your customer rewards lifecycle, from initial enrollment through point redemption.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Zinrelo on VinkiusAward Points Activity
Gives points to a user based on a custom action that isn't a direct purchase.
Award Points Purchase
Adds points to a user’s account after they complete a transaction or make a sale.
Enroll Member
Creates a new loyalty profile or updates the details of an existing customer.
Deduct Points
Manually subtracts points from a member's balance, often for adjustments or disputes.
Get Member Details
Pulls all current information about a specific member, like their tier status or...
Redeem Reward
Processes the exchange of accumulated points for a defined reward or coupon.
Get Loyalty Settings
Retrieves high-level configuration and settings for the entire loyalty program account.
List Member Transactions
Provides a full, chronological log of points earned and spent by one member.
List Loyalty Members
Fetches an exhaustive list of every person enrolled in the loyalty program.
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Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Zinrelo integration is available immediately — no restart needed.
Choose How to Get Started
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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 9 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Manually managing rewards feels like a spreadsheet nightmare.
Right now, rewarding members means jumping between the POS system, the email platform, and the CRM. You manually check if they qualify for points, find their current balance in one tab, log the award in another, and then send an update email just to confirm. It's click-intensive, slow, and you always risk a point being missed or logged incorrectly.
With this MCP, that whole sequence runs inside your agent. You ask it what needs to happen—like awarding points for a specific purchase—and the system handles the profile check, the award execution, and the audit trail creation in one go. It’s instant, reliable, and completely traceable.
Getting point transparency with Zinrelo.
You don't have to rely on a single snapshot of data. You can ask the agent for the complete history using list_member_transactions, or check the current status instantly via get_member_details. This gives your team full visibility into every point transaction.
Your AI agent handles this complex read/write cycle flawlessly. It keeps all that financial movement organized and available through a simple conversation, removing dashboard dependency entirely.
What your AI can actually do with this
This connector lets you automate the whole customer loyalty loop directly within your agent. Instead of manually checking multiple systems for member status or transaction history, your AI client handles it all. You can instantly enroll new customers and pull their full profile, including tier level and current point balance.
Need to adjust a reward? Simply process redemptions using natural language commands. When points are earned from purchases or special activities, you award them immediately. If the system needs manual adjustment, you can deduct points too. Since managing customer rewards is fundamentally financial data, every action taken by your agent generates a cryptographically signed audit trail through Vinkius, ensuring nothing happens in the dark and maintaining a perfect record of every point movement.
It’s designed to handle everything from listing all active members to checking an individual's entire transaction history. This means marketing can launch campaigns that automatically award points for specific actions, and customer support staff can instantly check any member’s status without leaving their chat window. It streamlines the core flow of retention and rewards management.
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Here's how it actually works
The bottom line is you tell your agent what you need done with plain English, and it handles the API calls and data retrieval for you.
First, connect your AI client to the Zinrelo MCP and provide your required API credentials.
Next, issue a natural language request—for example, 'Check John Smith's point balance.'
Your agent executes the necessary functions against the live data and returns structured results detailing the member’s status or transaction log.
Who is this actually for?
E-commerce owners who are tired of manually cross-referencing sales data with loyalty databases. Marketing managers needing instant point tracking to run campaigns. Customer support staff struggling to keep up with complex, multi-stage reward redemption rules.
Automating member enrollment and ensuring that every purchase automatically accrues points without manual intervention.
Running special campaigns by awarding points for specific activities or listing all members who haven't engaged lately.
Quickly pulling a customer’s complete transaction history while on a call to resolve billing disputes about point usage.
What Changes When You Connect
Stop manually tracking balances. Use get_member_details to pull a user’s current status, tier, and point count in seconds.
Automate rewards immediately after sales. The award_points_purchase tool ensures points are credited instantly upon checkout completion.
Audit every movement with list_member_transactions. You can generate full historical logs for any member to prove where their points came from or went.
Handle disputes easily. Use deduct_points when a manual adjustment is necessary, and always keep that action logged.
Scale campaigns effortlessly. By listing all loyalty members, you get the roster needed to target promotions instantly.
See it in action
Customer service needs an account audit
A customer calls questioning a point deduction. Instead of looking up invoices, the agent asks their AI client to list_member_transactions for that user. The agent immediately sees exactly when and why the points were taken.
New users need immediate onboarding
A new signup completes an action. The workflow triggers 'award_points_activity' automatically, giving them a welcome bonus, while simultaneously calling enroll_member to get their profile started.
Running end-of-quarter reporting
The marketing team needs to know how many members are in the 'Gold' tier and what their current point totals are. They use list_loyalty_members combined with get_member_details for a high-level overview.
Processing bulk rewards
The business decides to offer a $5 coupon redemption event. The agent uses redeem_reward across a segment of members, ensuring the points are correctly removed from their balances and logged.
The honest tradeoffs
Treating it like a simple database query
The user thinks they just need to write 'Give 100 points to Bob.' This fails because the system needs context: was it for a purchase or an activity?
Don't just use one tool. If the point accrual is tied to a sale, you must use award_points_purchase. For everything else, like signing up for a newsletter, use award_points_activity.
Ignoring member status
A user tries to redeem points but doesn't know if the account is active or what the current balance is.
Always run get_member_details first. This confirms their eligibility and shows their point balance before attempting a redemption with redeem_reward.
Overwriting records
Manually changing points without logging the reason, leading to an untraceable balance discrepancy.
If you must manually adjust points, use deduct_points. This action is logged and tied to a specific tool call, keeping the audit trail intact.
When It Fits, When It Doesn't
Use this MCP if your core problem involves tracking, changing, or listing customer-facing loyalty point balances. You need to know why points were earned or lost—that's the critical part. Use it when you must perform actions like award_points_purchase or redeem_reward. Don't use it if you just need to store raw data; this tool is about transaction flow and state management, not just CRUD operations. If your primary goal is simply gathering basic user info that has nothing to do with points or tiers, a simpler member directory MCP might suffice. But for anything related to the value exchange of loyalty, Zinrelo is what you need.
Questions you might have
How do I check my loyalty points using the get_member_details tool? +
Just ask your agent to 'Get details for member X.' The client runs get_member_details and returns the full profile, including their current point balance and tier status.
Can I list all my customers using the list_loyalty_members tool? +
Yes. The list_loyalty_members function pulls a comprehensive roster of every person currently enrolled in your program, which is useful for bulk marketing campaigns.
What is the difference between award_points_activity and award_points_purchase? +
Use award_points_purchase when points are earned directly from a sale. Use award_points_activity when points are awarded for something else, like completing a survey or referring a friend.
Does the system log point changes using list_member_transactions? +
Yes. This tool provides the complete and immutable record of every single point movement—both gains and losses—for full auditing purposes.
What information can I get using the `get_loyalty_settings` tool? +
The tool retrieves high-level configuration details for your entire program. This includes essential parameters like point multiplier rates, maximum available tiers, and overall account status without needing to query specific member data.
If I run `deduct_points`, how does the system handle insufficient points? +
The function performs a mandatory balance check before proceeding. If the deduction amount exceeds the user's current point total, it fails immediately and returns an explicit error code, ensuring no unauthorized changes occur.
When should I use `enroll_member`, and what information must I provide? +
Use this when you need to create or update a loyalty record for a customer. You must supply mandatory fields like the unique member identifier (email) and initial status details for a successful enrollment.
Can I filter results when using `list_loyalty_members`? +
Yes, you can pass criteria to narrow down the list of members. You should be able to filter by parameters like account tier, date range, or minimum point balance directly in your request payload.
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.
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