Compatible with every major AI agent and IDE
Get material on ItemPath
Returns SKU details, storage rules, and quantity-on-hand. Essential for analyzing the status of specific inventory items. Retrieves details for a specific material
Get me on ItemPath
Use to verify connection health and current user identity. Gets current authenticated user info
Get order on ItemPath
Returns the list of materials involved, target locations, and picker information. Use this for troubleshooting order fulfillment or providing status updates. Retrieves details for a specific order
List batches on ItemPath
Essential for managing perishable goods or regulated materials requiring lot tracking. Lists all material batches
List calls on ItemPath
Useful for debugging integrations and monitoring system interaction frequency. Lists recent API request history
List locations on ItemPath
Useful for understanding warehouse layout and identifying where specific materials are stored. Lists all storage locations
List materials on ItemPath
Returns material names, descriptions, and IDs. Use this to identify products for inventory auditing or order analysis. Lists all materials in ItemPath
List orders on ItemPath
Includes order IDs, types, and current status. Essential for monitoring warehouse throughput and workflow. Lists all orders
List transactions on ItemPath
Returns timestamps, material IDs, quantity changes, and user IDs. Essential for auditing inventory accuracy and identifying recent stock changes. Lists all inventory transactions
List users on ItemPath
Useful for identifying who performed specific inventory transactions. Lists all system users
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Can I see real-time inventory levels?
Yes, the list_materials and list_batches tools provide real-time information on your current stock and material availability.
How Chatbots Interact with ItemPath
The ItemPath integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
AI-Driven inventory management Workflows
The ItemPath toolkit provides AI native integration for inventory management. It structures data so Claude Code can accurately process data analytics requirements.
Automating warehouse operations with AI
Connect your AI agent to ItemPath for comprehensive warehouse operations coverage. The integration features standard schemas for reliable data analytics tool execution.
ItemPath. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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