patagon-inventory-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables an AI agent to query a warehouse management system for orders, stock, stalled orders, and audit logs, and to make narrowly scoped writes by changing order status with a required reason or appending notes, with all writes recorded in a full audit trail.MIT
- -licenseNot gradedqualityNot gradedmaintenanceEnables AI agents to interact with Skulabs inventory management system through comprehensive tools for managing products, orders, customers, and analytics. Supports voice agents like Retell AI and desktop applications like Claude for natural language inventory operations.-
- AlicenseNot gradedqualityBmaintenanceEnables a shared store inventory platform where owners and customers query and manage products, check stock, run POS checkout, and approve simulated restocks through authenticated MCP tools backed by a shared SQLite database. Tool calls are persisted with request IDs and executed SQL so every operation can be audited and verified.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables small shopkeepers to manage inventory conversationally, tracking daily burn rates, predicting stockouts and spoilage, generating supplier-grouped purchase orders, planning reorders under budget constraints, creating near-expiry clearance markdowns, and projecting profit margins.MIT
- AlicenseAqualityBmaintenanceEnables AI agents to manage a local-first household inventory, recording receipt emails and maintaining a probabilistic estimate of stock levels. Provides tools to query stock, identify items to reorder, and correct ingestion errors, all without any cloud dependency.61Functional Source , Version 1.1, MIT Future
TDQS
Scored across 5 tools
Each tool has a distinct purpose: list_products (catalog browsing), get_stock (single SKU stock), list_low_stock (filtered subset), register_movement (writes), and get_movement_history (audit trail). The overlap between list_products and list_low_stock is clearly differentiated by the minimum-threshold filter, and get_stock is explicitly scoped to a single SKU.
All five tools follow a uniform verb_noun snake_case pattern (list_products, get_stock, register_movement, list_low_stock, get_movement_history). Verbs are meaningful and consistent across the set.
Five tools is well-scoped for a focused inventory server, and each one covers a distinct read or write operation without redundancy. Nothing feels padded or missing at the count level.
Core inventory lifecycle is covered: browse catalog, check stock, record in/out movements idempotently, surface low stock, and review history. Minor gaps exist around product creation/updating and configuring minimum thresholds, but these are workable around and don't block main workflows.