Swiggy Syndicate
Related Servers
Alternatives to Swiggy Syndicate
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceAggregates Swiggy's food delivery, Instamart groceries, and Dineout table booking services into one MCP server, letting AI agents search, order, and book via a single OAuth token.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to discover and order food from multiple delivery services (DoorDash, UberEats, Grubhub) using A2A protocol and process payments via Stripe with AP2 protocol mandates for cryptographically signed user authorization.1MIT
- FlicenseNot gradedqualityCmaintenanceEnables users to plan meals and place orders across Swiggy Food, Instamart, and Dineout directly from Claude Desktop conversations.-
- FlicenseNot gradedqualityBmaintenanceEnables voice-driven food ordering by providing tools to search restaurants, browse menus, check item availability, manage carts, calculate optimal coupon discounts, confirm and place orders, and track deliveries. It also supports long-term preference memory and order history for natural, multi-turn conversational commerce.-
- FlicenseNot gradedqualityDmaintenanceFinds the cheapest nearby option for a dish on your own Swiggy account, ranked by final post-coupon payable amount.1-
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to autonomously order food from Grubhub, including searching restaurants, browsing menus, managing cart, placing orders, and tracking delivery.25 npm1MIT
TDQS
Scored across 2 tools
The two tools split cleanly into planning/optimization versus execution/finalization, with no overlap in responsibility. An agent can easily decide which to call based on whether the group order still needs optimization or is ready to finalize.
Both names use snake_case and start with a clear verb, but their internal structures differ slightly (plan_and_optimize_group_meal vs execute_group_cart_and_split). The convention is still readable and predictable overall.
Two tools is thin for a server, though each covers a large, composite phase of the group ordering workflow. It is borderline rather than clearly well-scoped or excessive.
The surface covers planning, optimization, cart finalization, cost splitting, and payment link generation, which is strong end-to-end coverage. Minor gaps remain around post-order tracking or cart modification, but agents can likely work around them.