mcp server
Resonance Reward Agent
Find shopping deals, earn cashback, and redeem rewards across retail, dining, and travel brands.
Description as published by the maintainer. Source
- version 2.1.0
- slowing
slowing — Registry entry last updated 2026-02-28.
What this server can do
45 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
rsnc_agent_best_deals(limit, budget, intent, userId, category)- Find the best cashback deals and rewards matching a shopping intent. Searches brands by category, ranks by reward value, and optionally personalizes results based on user balances. Use this when a user wants to shop, eat, travel, or game and wants the best rewards. Required: intent.
rsnc_agent_brand_analytics(period, brandId)- Deep analytics for a specific brand: daily performance trends, customer velocity, event activity, and program health metrics. Use this to understand how a brand's reward program is performing. Required: brandId.
rsnc_agent_brand_audience(brandId)- Get a brand's user persona distribution: archetype breakdown, engagement levels, platform split, and archetype drift over time. Required: brandId.
rsnc_agent_brand_health(brandId)- Get a program health assessment for a brand with data-driven recommendations. Analyzes event performance, perk utilization, and customer engagement to suggest optimizations. Required: brandId.
rsnc_agent_brand_info(brandId)- Get details on a brand's reward program: what actions earn cashback (purchases, signups, reviews, referrals), how much you earn per action, and any bonus opportunities. Required: brandId.
rsnc_agent_brand_perks(brandId, category)- Browse a brand's available rewards — discounts, free products, exclusive access, experiences, and more. See what's redeemable and what each costs. Required: brandId.
rsnc_agent_brand_rankings(limit, category)- See which brands offer the most rewards, have the most active programs, or the best cashback rates. Useful for finding where to shop for maximum value.
rsnc_agent_browse_perks(limit, brandId, category, maxPrice)- Search for deals, discounts, and rewards across all brands or filter by category and budget. Find cashback offers, free products, exclusive access, and experiences from retail, dining, travel, and more.
rsnc_agent_check_brand(query)- Check if a brand or website is on the Resonance cashback network. Returns their reward program details if found, or information about how to join if not. Required: query.
rsnc_agent_claim_reward(rewardType, brandAddress)- Claim a reward for a valuable agent action. Rewards are paid from the Resonance network fund with daily and weekly rate caps. Discovery earns 100 RSNC, onboarding earns 500 RSNC. Required: rewardType, brandAddress.
rsnc_agent_compare_brands(period, brandIds)- Compare 2-5 brands side-by-side across all performance metrics: velocity, customers reached, transactions, LTZ distributed, event diversity, and perk utilization. Returns a structured comparison matrix with per-metric winners and insights. Required: brandIds.
rsnc_agent_compare_cashback(brandIds, category, purchaseAmount)- Compare cashback rates across brands for a specific purchase amount. Shows exactly how much you earn at each brand — side-by-side "Buy $100 at Nike = $8 back vs Adidas = $3 back". The key decision tool for purchase routing. Required: purchaseAmount.
rsnc_agent_create_event(brandId, eventType, maxClaims, customName, rewardAmount, cooldownHours, detectionMethod)- Create a new reward event for a brand. Events define what user actions earn cashback. The agent validates the configuration against the brand's data maturity before creating. Required: brandId, eventType, rewardAmount.
rsnc_agent_create_perk(name, tags, brandId, category, maxSupply, maxPerUser, description, priceInPoints)- Create a new perk collection for a brand. Perks are rewards users can claim with earned RSNC tokens — discounts, free products, VIP access, and more. Required: brandId, name, description, priceInPoints, maxSupply.
rsnc_agent_estimate_roi(industry, monthlyCustomers, averageOrderValue)- Estimate the return on investment of adding a Resonance cashback program to a business. Takes industry and business metrics to project engagement and retention impact. Required: industry.
rsnc_agent_event_performance(period, brandId)- See how each reward event is performing at a brand: which actions drive the most engagement, claim rates, and reward efficiency per event type. Required: brandId.
rsnc_agent_leaderboard(limit, metric, period, brandId)- See top earners and most active customers for a brand. Useful for social proof or finding the most rewarding brands to shop at. Required: brandId.
rsnc_agent_list_brands(limit, offset, category)- Search and browse brands offering cashback, rewards, and deals. Filter by category (retail, dining, travel, gaming) to find relevant offers for shopping, booking, or purchasing.
rsnc_agent_manage_keys(action, brandId)- Manage API keys for brands you onboarded. Rotate, revoke, or check status. Never exposes secrets — credentials are accessed through the partner portal. Required: action, brandId.
rsnc_agent_my_rewards- Check your agent's RSNC reward earnings, activity stats, and remaining rate cap allowances. Shows how much the agent has earned for discovering brands, onboarding partners, and driving network growth.
rsnc_agent_network_analytics(period)- Get real-time network analytics: total users, brands, rewards distributed, trending categories, and growth metrics across the entire Resonance network.
rsnc_agent_network_flows(period)- See how users flow between brands across the network. Shows which brands are emitters (users leave to redeem elsewhere) vs attractors (users come to redeem). All data is anonymous and category-level.
rsnc_agent_network_info- Returns info about the Resonance rewards network — a cross-brand cashback and perks marketplace covering retail, dining, travel, gaming, and more.
rsnc_agent_network_stats- Returns how many brands, users, and rewards are active — useful for understanding the scope of available deals and cashback offers.
rsnc_agent_network_trending(limit, period)- See what's trending across the Resonance network: hottest perk categories, fastest growing brand categories, and overall network health metrics.
rsnc_agent_next_goal(userId, brandId, targetPerkId)- Calculate the fastest path to a user's next attainable reward. Shows exactly how many actions (purchases, reviews, referrals) are needed to afford a specific perk. Creates urgency and drives engagement. Requires authentication. Required: userId.
rsnc_agent_onboard_brand(website, category, description, brandAddress, businessName, contactEmail)- Register a new brand on the Resonance cashback network. Creates their account, generates credentials (accessible via partner portal), and sends a welcome email. Requires agent authentication with onboarding permission. Required: brandAddress, businessName, contactEmail.
rsnc_agent_perk_analytics(brandId)- Analyze perk collection performance: redemption rates, supply status, which perks are most popular. Helps brands optimize their reward catalog. Required: brandId.
rsnc_agent_perk_audience(brandId, collectionId)- Get the persona breakdown of users who claimed a specific perk: archetypes, engagement levels, and platform distribution. Required: brandId, collectionId.
rsnc_agent_perk_intelligence(brandId)- Get intelligence on a brand's perks: heat scores, conversion funnels, supply depletion rates, and retention impact. Helps optimize perk catalogs. Required: brandId.
rsnc_agent_process_bulk(events)- Record multiple qualifying actions in one request — batch purchases, signups, or engagement events across brands. Requires authentication. Required: events.
rsnc_agent_process_event(userId, brandId, metadata, eventType)- Record a qualifying action (purchase, signup, review, referral) to earn cashback for a user. Returns the reward amount credited. Requires authentication. Required: brandId, eventType, userId.
rsnc_agent_redeem_perk(perkId, userId, brandId)- Claim a reward for a user — redeem a discount, freebie, or exclusive offer using their earned cashback. Returns a confirmation code. Requires authentication. Required: perkId, userId, brandId.
rsnc_agent_request_info(website, industry, businessName, contactEmail)- Request information about adding a Resonance cashback program to a business. Captures contact details for the partnerships team. Required: businessName, contactEmail.
rsnc_agent_route_purchase(intent, userId, category, purchaseAmount)- Find the best brand to buy from based on cashback and rewards. Given a shopping intent, compares all matching brands and ranks them by total reward value — cashback earned, perks redeemable, and effective savings. The core purchase intelligence tool for agentic commerce. Required: intent.
rsnc_agent_stack_deals(userId, brandId, purchaseAmount)- Calculate the optimal deal stack for a specific purchase at a specific brand. Combines base cashback earned + best redeemable perk + any active promotions to show total savings. Use after route_purchase to maximize value at the chosen brand. Required: brandId, purchaseAmount, userId.
rsnc_agent_suggest_events(brandId)- Get AI-recommended reward event configurations for a brand. Analyzes what event types, reward amounts, and cooldowns work best in the brand's category based on network-wide patterns. Required: brandId.
rsnc_agent_suggest_perks(brandId)- Get AI-recommended perk configurations for a brand. Suggests perk types, pricing, and supply limits based on audience composition and balance distribution patterns. Required: brandId.
rsnc_agent_update_event(brandId, enabled, eventId, maxClaims, rewardAmount, cooldownHours)- Update an existing reward event's configuration. Changes to reward amounts are validated against performance data to ensure sufficient data for evaluation. Required: brandId, eventId.
rsnc_agent_update_perk(brandId, isActive, maxSupply, description, collectionId, priceInPoints)- Update a perk collection's configuration. Can adjust pricing, supply, and active status. Required: brandId, collectionId.
rsnc_agent_user_balance(userId, brandId)- Check how much cashback a user has earned at a specific brand and how much they can spend on rewards. Requires authentication. Required: userId, brandId.
rsnc_agent_user_persona(userId)- Get a user's behavioral profile: earn patterns, persona archetype, tag/brand affinities, price preferences, and network position. Requires HMAC authentication. Required: userId.
rsnc_agent_user_portfolio(userId)- Get a unified view of a user's rewards across ALL brands — total balance, per-brand breakdown, active streaks, and the best perk they can afford right now. The cross-brand loyalty dashboard. Requires authentication. Required: userId.
rsnc_agent_user_recommendations(limit, userId)- Get personalized perk recommendations for a user, scored by persona affinity and affordability. Requires HMAC authentication. Required: userId.
rsnc_agent_user_stats(userId, brandId)- Get a user's complete reward profile for a brand: total earned, total redeemed, active streaks, and achievements. Useful for recommending next actions. Requires authentication. Required: userId, brandId.
Last successful function declaration observed on . Source: https://agent.rsnc.network/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://agent.rsnc.network/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 2.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-02-28 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-02-28 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 45 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | agent.rsnc.network | |
| mcp endpoint status | ok | The server listed 45 functions when asked. | as of probe | agent.rsnc.network |
Where to get it
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