Toast MCP
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Alternatives to Toast MCP
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- 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.12 npmMIT
- AlicenseBqualityAmaintenanceEnables Claude and other MCP clients to read and write a Loyverse point-of-sale account, covering catalogue items, inventory levels, loyalty customers, receipts and refunds through natural language. Includes a one-call sales summary that aggregates any date range into totals and ranked breakdowns by day, item, category, payment type, employee or store.41MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to manage restaurant operations by integrating with Toast POS, including orders, menus, employees, payments, inventory, and reporting through 50+ tools and 18 React apps.813MIT
- 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.-
- AlicenseAqualityAmaintenanceEnables read-only access to Lightspeed X retail data (sales, inventory, products, customers) with aggregated reporting on revenue, COGS, profit, and other metrics for MCP clients like Claude.1MIT
- AlicenseNot gradedqualityAmaintenanceEnables Claude to interact with Acumatica ERP through a remote MCP server with per-user OAuth, role-based access, and 44 tools for querying and managing ERP data.18Apache 2.0
TDQS
Scored across 55 tools
Most tools target distinct resources, but several overlap: get_payment_summary and get_payment_type_report both aggregate by payment type, list_orders and get_orders_by_business_date have redundant filtering behavior, and get_order_status vs get_order have fuzzy boundaries. With 55 tools, agents may struggle to pick the canonical tool for a given request.
All tools share a toast_ prefix and generally follow a predictable verb_noun pattern with list_, get_, and search_. Minor inconsistencies exist, such as mixing report/summary suffixes and having both get_orders_by_business_date and list_orders with a date filter, but the overall style is consistent.
At 55 tools, this is a very large surface for one MCP server. While the domains are broad, the count exceeds the 'too many' threshold and includes many narrow variants that add selection overhead without clear separation of concerns.
As a read-only restaurant data integration, the tool set covers orders, menus, payments, cash handling, employees, customers, inventory, and reporting comprehensively. Minor gaps exist, such as no list_payments endpoint, no item-level order detail separate from the order object, and no write operations, but agents can generally work around them.