BLAZE Launches BLAZE MCP for Comprehensive Cannabis Retail Management
News related to:BLAZE · 2 min read
ANAHEIM, Calif., Sept. 29, 2026 /CourierPR/ -- BLAZE, the AI-powered cannabis retail platform trusted by thousands of businesses across 20 states, has launched BLAZE MCP, the most comprehensive Model Context Protocol (MCP) server built for the cannabis industry. This new tool connects AI assistants like Claude and ChatGPT to over 250 operations across BLAZE's point-of-sale, e-commerce, and marketing products, offering a unified platform for cannabis retailers.
BLAZE MCP is designed to streamline operations by allowing operators to run their entire business from a single AI assistant. Unlike other AI tools that can only see one system, BLAZE MCP reaches the whole store. Because BLAZE builds its point-of-sale, e-commerce, and marketing products on one connected platform, a single conversation can impact pricing and inventory at the register, the online menu, in-store screens, and the campaign that brings customers back.
The breadth and depth of BLAZE MCP are unparalleled. More than 140 of its operations are actions that make real changes, not just lookups. For instance, operators can mass-edit up to 50 products at once, set VIP and loyalty-tier pricing, receive purchase orders, reconcile batches, redraw delivery zones, and diagnose why a product isn't showing online or an order is stuck. These features turn a multi-tool afternoon into minutes. A store manager can ask which products are moving slowly, discount one while protecting a 30% margin, build the promotion, feature it across every online storefront and in-store displays, and launch a campaign announcing it, without leaving the conversation.
Chris Violas, CEO of BLAZE, emphasized the importance of depth and breadth in AI tools.
To ensure security and compliance, every change proposed by BLAZE MCP is previewed and requires human approval before it takes effect. Each step of a multi-step workflow is confirmed on its own, and the assistant can only access what the user's existing BLAZE role allows. Every action is recorded in a full audit trail, and customer data is never used to train AI models. BLAZE designed and built the AI layer in-house on its SOC 2 Type 2 certified platform.