Toast MCP Server
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Alternatives to Toast MCP Server
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to query live Toast POS data and generate sales, labor, and cash reports while answering restaurant operations questions, all in a read-only manner.3 npmMIT
- FlicenseCqualityCmaintenanceEnables Claude or any MCP client to query a Toast POS using plain English, with 55 read-only tools covering orders, sales, labor, employees, menus, inventory, customers, and cash.55-
- FlicenseBqualityBmaintenanceEnables AI assistants to manage Gerent365 restaurant and business operations via natural language, including employees, schedules, payroll, tips, time tracking, customers, products, reservations, and reports.531-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage KiotViet retail and F\&B operations including products, orders, customers, invoices, and inventory through the Public API. Features 36 integrated tools with automatic token refresh, middleware chain support, and configurable presets for different access levels.3-

CraveUp MCP Serverofficial
AlicenseAqualityBmaintenanceEnables AI agents to onboard restaurant brands and manage Crave menus, storefronts, and mobile releases via natural language.382 npmMIT- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to query a retail and food-service point-of-sale database through predefined business tools for sales summaries, top products, margins, stagnant inventory, cash reconciliation, and optional stock adjustments, returning formatted markdown answers.-
TDQS
Scored across 8 tools
Each tool targets a distinct resource or meta-information area, so confusion is unlikely. Minor overlap exists between find_orders and get_order (plural vs singular) and between get_inventory and show_operations_overview, but descriptions clarify scope.
All tools use the consistent 'toast_' prefix and mostly follow verb_noun naming (get_, list_, find_, search_). 'show_operations_overview' slightly breaks the verb pattern but remains intuitive and aligned with the others.
Eight tools is well within the optimal range and appropriately scoped for a focused Toast POS read-oriented MCP server. Each tool adds meaningful functionality without unnecessary redundancy.
The set covers core read operations for locations, orders, menu, inventory, and an overview, which is reasonable for a privacy-safe server. However, it lacks write/update operations and many Toast API families beyond the ones listed, leaving the surface notably incomplete for full Toast platform coverage.