Swarm MCP for AI. Manage loyalty points and rewards via chat.
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Swarm manages your entire customer loyalty lifecycle. Connect it to any AI agent to let them handle points, rewards, and vouchers through simple chat commands.
Check balances with `get_customer_balance`, award points via `process_loyalty_transaction`, or redeem rewards using `redeem_customer_reward`. It's the single point of control for retail customer retention.
What your AI can do
Get customer balance
Checks a specific customer's current loyalty point balance and tier status.
List available rewards
Retrieves a list of all rewards that customers can currently redeem points for.
List customer vouchers
Lists and queries every unused discount voucher associated with a customer account.
The agent retrieves a customer's current point total and loyalty tier status using get_customer_balance.
It registers sale data (products, amounts) to automatically add points to a client's account via process_loyalty_transaction.
The agent executes the conversion of customer points into actual rewards or discount vouchers using redeem_customer_reward.
You can list all current, redeemable rewards and check which ones a customer qualifies for with list_available_rewards.
The agent lists every active discount code or voucher assigned to a specific customer profile using list_customer_vouchers.
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Swarm MCP Server: 5 Tools for Loyalty Program Ops
Use these five tools to coordinate customer points, rewards redemption, voucher management, transaction processing, and balance checks.
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Start using Swarm on VinkiusGet Customer Balance
Checks a specific customer's current loyalty point balance and tier status.
List Available Rewards
Retrieves a list of all rewards that customers can currently redeem points for.
List Customer Vouchers
Lists and queries every unused discount voucher associated with a customer account.
Process Loyalty Transaction
Registers a sale amount and product data to automatically award points to the...
Redeem Customer Reward
Converts a customer's accumulated points into a chosen reward or voucher, deducting...
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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 5 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Handling point inquiries and reward checks shouldn't require five different dashboard tabs.
Today, if a customer asks about their points, you might open the CRM to check their basic balance. Then, you switch to the rewards portal to see what they can actually buy. Finally, you jump into the voucher management system just to confirm if they have any existing credits. It's three different logins and five minutes of clicking.
With Swarm MCP Server, your agent handles all that in one conversation thread. You ask about their points, and it runs `get_customer_balance`. Then you ask what rewards they can get, and it executes `list_available_rewards`. The whole process happens instantly, giving the customer a clear answer without ever leaving the chat.
Swarm MCP Server: Manage loyalty points & rewards
Manually tracking point accrual and redemption across multiple systems is a nightmare. Every sale requires updating the balance, logging the transaction, and confirming the reward deduction in separate tools.
Now you run `process_loyalty_transaction` through your agent. It handles the data flow: it accepts the sale info, awards points, updates the customer record, and confirms everything—all with one clean API call. The whole process is automated.
What your AI can actually do with this
Swarm handles your entire customer loyalty lifecycle, letting your AI agent manage points, rewards, and vouchers through simple chat commands. You don't build complex APIs or write backend logic; you just talk to your agent.
Managing Customer Loyalty with Swarm
- Check Point Balances: Your agent checks a specific customer's current loyalty point balance and tier status using
get_customer_balance. This tool gives immediate, real-time data on exactly how many points the customer has accumulated and what their corresponding loyalty tier is. - Processing Sales and Awarding Points: You register sale amounts and product details to automatically add points to a client's account via
process_loyalty_transaction. When an agent runs this tool, it requires specific data—the total sale value, the products purchased, and the customer ID—and then executes the point award instantly. - Reviewing Customer Vouchers: Your agent lists every active discount code or voucher assigned to a particular customer profile using
list_customer_vouchers. This gives you a clean rundown of all unused credits available on that account. - Browsing Rewards Catalog: You can list all current, redeemable rewards and check which ones a customer qualifies for with
list_available_rewards. The agent pulls the full catalog so you're always up-to-date on what customers can actually trade their points for. - Managing Reward Redemptions: Your agent handles the conversion of accumulated customer points into actual goods or discount vouchers using
redeem_customer_reward. When a redemption happens, it doesn't just give the reward—it deducts the necessary funds from the customer's total point balance, keeping your records accurate.
This single system gives you full control over the entire customer retention process. Your AI agent uses these specialized tools to handle everything: first, checking eligibility by running get_customer_balance; then, confirming options by calling list_available_rewards and reviewing existing credits with list_customer_vouchers; next, processing a sale using process_loyalty_transaction; and finally, completing the transaction by executing redeem_customer_reward.
You'll manage every point award, reward list query, balance check, voucher review, and final redemption right from the chat interface. It’s your single source of truth for customer loyalty.
019dd16c-75ba-730c-b851-908e5a58a321 Here's how it actually works
The bottom line is, you manage your entire loyalty program conversationally; the AI handles the API calls in the background.
Subscribe to the Swarm server and enter your API Key into your AI client.
Tell your agent what you need—for example, 'Check points for cust_10293' or 'Award 50 points for $50 sale.'
The agent runs the necessary tool (like get_customer_balance or process_loyalty_transaction) and returns a natural language response with the results.
Who is this actually for?
Retail business owners who are tired of having to jump between their POS system, CRM dashboard, and marketing platform. Marketing managers who need a single source of truth for reward distribution. Customer success teams that dread manual point inquiries during peak hours.
Checks customer points instantly at checkout using the AI agent, ensuring rewards are applied correctly before finalizing the sale.
Monitors which reward categories are selling well and verifies voucher availability across thousands of profiles without writing custom reports.
Handles customer calls about point balances or redemption eligibility by having the AI run get_customer_balance and guide them through the process in chat.
What Changes When You Connect
Check point balances instantly. Running get_customer_balance lets your agent retrieve real-time point totals and tier status for any customer ID, which is critical right before checkout.
Handle transactions without touching a dashboard. The process_loyalty_transaction tool takes sale data and awards points automatically, making the entire process conversational.
Keep track of every discount. By using list_customer_vouchers, your agent can show exactly what unused codes are tied to a customer's profile, eliminating confusion.
Simplify redemption flows. The redeem_customer_reward tool lets you convert points into actual rewards or vouchers with just a few prompts, bypassing multi-step forms.
Full catalog visibility. You don't have to guess what customers can buy; running list_available_rewards shows the entire current reward catalog for eligibility checks.
See it in action
Customer asks about their points right before checkout
A customer calls and asks, 'How many points do I have?' Your agent uses get_customer_balance to pull the live data. The agent responds by confirming the balance and suggesting a reward they qualify for, solving the inquiry in one chat turn.
Staff needs to award points after an unusual sale
A store employee rings up a large corporate gift card sale that doesn't fit standard product codes. Instead of manually logging it, they instruct the agent to run process_loyalty_transaction with the specific total and product details, ensuring immediate point accrual.
Marketing needs to check redemption options for a group
The marketing team wants to know what rewards are available if customers have between 400-600 points. They ask the agent to run list_available_rewards, which provides an instant, actionable list of redeemable items.
Completing a manual reward exchange
A customer wants to use their 1,200 points for a specific jacket. Instead of going through the web portal, the agent runs redeem_customer_reward and confirms the deduction, completing the transaction instantly.
The honest tradeoffs
Treating loyalty as just data storage.
Just running get_customer_balance in isolation. This only tells you a number but doesn't tell you what the customer can do with it or if they are eligible for specific deals.
Always combine balance checks with catalog discovery. First, run list_available_rewards, then check their eligibility using get_customer_balance to provide a complete answer.
Assuming points equal discounts.
Trying to manually calculate if 500 points equals $25 off without checking the rules. This leads to miscommunication and frustrated customers.
Run list_available_rewards first. This tool provides the accurate, current mapping between point cost and reward value, ensuring you quote correctly.
Redeeming without checking vouchers.
A customer redeems a reward but doesn't realize they already had an active discount code applied to their account. This causes double-dipping confusion.
Before confirming redemption, always run list_customer_vouchers and inform the user of any existing codes so they know what credits are available.
When It Fits, When It Doesn't
Use Swarm if your primary pain point is translating complex, multi-step customer service processes into simple natural language chats. You need to move data (points, vouchers) from a backend system directly into the conversation flow without manual intervention.
Don't use this if you only need to display static loyalty rules or simply read a CSV file of balances. If your goal is just reporting, stick to standard database queries. This tool shines when state changes are required—meaning points must be awarded (process_loyalty_transaction), or items must be deducted (redeem_customer_reward). The core value here is the transactional wrapper that makes API calls feel like talking to a person.
Questions you might have
How do I check a customer's point balance using get_customer_balance? +
You ask your agent for the specific customer ID and request their balance. The tool uses get_customer_balance to pull real-time data, letting you know their points total and current loyalty tier instantly.
What does process_loyalty_transaction actually do? +
This tool automatically registers a sale's amount and product details. When the agent runs it, it calculates and awards the appropriate number of points to the customer's account.
Can I use list_available_rewards to see point costs? +
Yes, list_available_rewards provides a structured catalog. It lets you see what rewards are currently available and how many points they cost before attempting any redemption.
How do I redeem points for a reward using redeem_customer_reward? +
You simply ask the agent to redeem the specific item, providing your customer ID. The redeem_customer_reward tool executes the deduction and updates both the customer's balance and their status.
What does using list_customer_vouchers help me see? +
It shows all unused discount codes tied to a customer's profile. This tool lets you query and review specific voucher assignments, helping you ensure the right credits are available for redemption.
What happens if I use process_loyalty_transaction with bad data? +
The server validates all inputs, including sale amounts and product identifiers. If any piece of data fails validation, the tool immediately throws an error message telling you exactly which field needs correcting.
Do I need a special key to run get_customer_balance? +
Yes, connecting requires your Swarm API Key. This key authenticates your session and gives the agent permission to read real-time point balances for any customer ID.
Can I use list_available_rewards for a batch of customers? +
No, list_available_rewards is designed to show general catalog details and doesn't take customer IDs. You must first check the individual customer balance using get_customer_balance before checking eligibility.
Can I check a customer's points balance via AI? +
Yes! Use the get_customer_balance tool and provide the Customer ID. Your agent will retrieve the current points and the loyalty tier for that specific user.
How do I award points for a recent purchase using the agent? +
Use the process_loyalty_transaction action. Provide the Customer ID and the transaction amount. The agent will instantly calculate and award the correct points based on your Swarm settings.
Is it possible to list all the rewards a customer can claim? +
Absolutely. Use the list_available_rewards query and provide the Customer ID. The agent will return the catalog of rewards that the user is currently eligible to redeem.
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