Compatible with every major AI agent and IDE
List b2b transactions on OpenTHC
Each B2B transaction record contains the transfer ID, direction (incoming/outgoing), counterparty company, transfer status (draft, committed, received, rejected), creation date, expected fulfillment date, line items with quantities, and attached manifests or bills of lading. Essential for supply chain orchestration, logistics planning, and regulatory transfer documentation. AI agents use this to track shipment status, verify received quantities, and prepare compliance reports. List all B2B transfer transactions (incoming and outgoing)
List b2c transactions on OpenTHC
Each transaction includes the sale ID, customer information (if recorded), sale date, line items with products and quantities, total amount, tax breakdown, dispensary location, and inventory deduction confirmations. Critical for daily sales reporting, tax calculation verification, inventory reconciliation, and regulatory sales limit enforcement. AI agents should query this to analyze sales patterns, verify compliance with purchase limits, and prepare end-of-day reports. List all retail B2C sales transactions
List companies on OpenTHC
Use this to understand which organizations are part of your regulatory network, including license holders, cultivators, processors, distributors, and retailers. Each company record contains legal identification data, registration status, and associated license information. Essential for multi-company operations and B2B transaction verification. List all companies registered in the OpenTHC compliance engine
List contacts on OpenTHC
Each contact includes company affiliation, contact type (B2B partner, regulatory agency, logistics provider), communication details, and relationship status. Use this to identify verified trading partners before creating B2B transfer orders or compliance documentation. List all business contacts in the OpenTHC network
List inventory on OpenTHC
Each inventory item displays the lot number, item type, quantity with unit of measurement, storage location, creation date, chain of custody history, and compliance status. Fundamental for stock reconciliation, audit preparation, transfer order creation, and regulatory reporting. AI agents should query this before fulfilling orders or conducting inventory audits. List all inventory items with quantities and locations
List lab results on OpenTHC
Each result includes the lab result ID, linked sample, testing laboratory accreditation, full analytical results (THC/CBD potency, terpene profile, contaminant levels), pass/fail determination, and the official CoA document reference. Critical for regulatory compliance, product labeling accuracy, retail menu display, and consumer transparency. AI agents should reference this to verify product safety before sale or transfer. List all laboratory test results and certificates of analysis
List lab samples on OpenTHC
Each sample contains the sample ID, linked inventory lot, sample type (flower, edible, concentrate), test panel requested (potency, pesticides, heavy metals, mycotoxins, microbials, residual solvents), submission date, testing laboratory, and current analysis status. Essential for quality assurance workflows, batch release decisions, and compliance with mandatory testing regulations. AI agents should check this to determine if a batch has pending or cleared lab results. List all laboratory samples submitted for testing
List licenses on OpenTHC
Each license contains the license type, expiration dates, regulatory conditions, and approval status. Critical for compliance verification — AI agents should check this before initiating any regulated activity to ensure the proper license is active and valid for the intended operation. List all cannabis licenses associated with your account
List plants on OpenTHC
Each plant record contains the unique plant ID (POP/PIP tags), growth stage (vegetative, flowering, harvesting), strain/variety, location within the facility (room, rack, shelf), planting date, and estimated harvest window. Critical for cultivation management, compliance reporting, and seed-to-sale traceability. AI agents use this to monitor crop health, predict harvest timelines, and ensure regulatory plant count limits are respected. List all cannabis plants in active cultivation
List products on OpenTHC
Each product entry contains the product name, type classification, SKU, potency information (THC/CBD percentages), package sizes, and regulatory tags. Essential for retail operations, menu generation, and B2B sales order creation. AI agents should reference this when checking product availability or creating sales transactions. List all cannabis products in your inventory catalog
List sections on OpenTHC
Each section entry includes the section ID, name, purpose classification (vegetation room, flowering room, drying room, processing area, retail floor, warehouse), environmental parameters, and capacity limits. Essential for spatial inventory tracking, cultivation workflow organization, facility compliance inspections, and operational planning. AI agents use this to assign plants to specific rooms during cultivation activities, locate inventory within the facility, and generate room-level production reports. List all facility sections and cultivation areas
List varieties on OpenTHC
Each variety record contains the variety ID, strain name (e.g., Blue Dream, OG Kush, Sour Diesel), genetics type (Type I - THC dominant, Type II - Mixed THC/CBD, Type III - CBD dominant), breeder information, and associated cultivation characteristics. Fundamental for cultivation planning, product labeling, genetic tracking, and regulatory strain registration. AI agents reference this when creating new plant records, generating product labels, or analyzing strain performance metrics. List all cannabis varieties (strains) in the system
How Vinkius protects your data
How do I quickly list all active plants in a specific cultivation room to check growth stages and predict harvest windows?
Simply ask the agent to run the list_plants action. It will compile all active plant records with their POP/PIP tags, current growth stage (vegetative, flowering, harvesting), strain variety, and estimated harvest dates. For facility-specific filtering, cross-reference with the list_sections tool to identify the target cultivation room GID and request plants assigned to that spatial zone.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
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.
Automated Workflows using OpenTHC
Add the OpenTHC tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
seed to sale & AI Execution
Use OpenTHC to interface with seed to sale via natural language. The toolkit provides Cursor with LLM-friendly schemas for supply chain tasks.
The Future of cannabis compliance
The OpenTHC integration allows Cursor and ChatGPT to securely fetch cannabis compliance data. It handles the API requests required for supply chain operations.
OpenTHC. 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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