McD Saver — McDonald's China Order Savings Check

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    Official McDonald's China MCP skill for automated coupon binding, price comparison, and point-value optimization.

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    Works with the AI Agents you already use

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    McD Saver — McDonald's China Order Savings Check

    Example session with this skill installed

    I'm at the Shanghai Middle Huaihai Road store and want a Big Mac meal. Find me the cheapest way to get it and show me the savings.

    • Read your context and instructions
    • Compiled the mcd saver

    I have analyzed the available discounts for the Shanghai Middle Huaihai Road store. I checked your member coupons, available points, and current store promotions.

    McDonald's Savings Report: Big Mac Meal

    CategoryDetails
    StoreShanghai Middle Huaihai Road
    Original Price¥38.00
    Applied Coupon[Member Only] 25% Off Set Meal (-¥9.50)
    Points Discount500 Points applied (-¥5.00)
    Final Price¥23.50
    Total Saved¥14.50 (38% Savings)

    Price Breakdown

    1. Option A (Best Value): Using the "Member 25% Off" coupon + 500 points. Total: ¥23.50.
    2. Option B: Using the "Buy 1 Get 1 Free" side-order coupon and buying the burger solo. Total: ¥29.00.

    Option C: Using a points-only redemption for a free burger and paying for the drink/fries.

    Total: ¥21.00 (But uses 4000 points, lower CPM value).

    Next steps

    • Type "Confirm Order" to generate the payment link for Option A.
    • Type "Check Points" to see if you have enough balance for the Option C free redemption.
    • Type "Change Store" if you want to check prices for a different nearby location.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Stop paying full price for McDonald's China orders. This skill transforms your agent from a simple ordering interface into a dedicated financial advisor for your fast-food cravings. It uses the official McDonald's China MCP Server to analyze every possible discount path before you spend a single yuan.

    The skill eliminates the manual labor of checking multiple apps for coupons or calculating whether points are worth more than cash. By integrating 35 official tools, it automates the "Claim, Select, Compare, Evaluate" workflow. It checks for available coupons, finds the best combination for your specific cart, and runs real price simulations to ensure you pay the absolute minimum.

    What it does

    • Automatic Coupon Binding scans for every available official coupon and binds them to your account in one step.
    • Price Comparison Engine runs parallel calculations comparing full price versus multiple coupon combinations to find the lowest total.
    • Points Value Assessment evaluates your point balance against current store items to determine if a point-redemption is more cost-effective than cash.
    • External Deal Integration compares official MCP prices against manually entered group-buying deals from platforms like Meituan or Douyin.
    • Optimization Algorithms suggest meal substitutions and bundle adjustments to hit specific budget or calorie targets.

    How it works

    1. Discovery Use available-coupons and query-store-coupons to identify every possible discount for your location.
    2. Simulation Call calculate-price with different coupon IDs to get verified final totals from the server.
    3. Selection The skill presents a "Savings Detail" report showing the original price, discount applied, and final payable amount.
    4. Execution After explicit user confirmation, it triggers create-order and returns a secure official payment link.

    Frameworks & tools

    Built for the Model Context Protocol (MCP) using Streamable HTTP. Requires a Token from the McDonald's MCP Open Platform. Includes Python 3.9 scripts for optimization and silent cost analysis.

    Why this beats prompting it yourself

    Generic prompts cannot access live real-time pricing engines or private coupon wallets. This skill implements a strict four-step financial check (Claim-Select-Compare-Evaluate) that ensures no discount is missed, something a standard LLM cannot do without these specific API call sequences and logic.

    Use cases

    • Daily Lunch Savings Finding the cheapest way to get a specific set of items using hidden member coupons.
    • Bulk Ordering Optimizing large group orders by identifying the best combo meal sets and member discounts.
    • Points Liquidation Checking for expiring points and suggesting the highest-value redemption items before they vanish.
    • Strategic Ordering Deciding whether to buy an in-app deal or use a third-party group-buy voucher based on real math.

    Known limitations

    Only supports McDonald's China (Mainland). Requires a manual MCP Token from the official developer portal. Group-buying data requires manual input as those platforms lack public APIs.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Requires

    Mcd
    Python
    Git

    Listed7 days ago
    Updated1 day ago

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