AI
Artificial intelligence in the Magento ecosystem: AI coding tools, LLM integrations, AI-powered search and recommendations, and what it all means for e-commerce developers.
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https://github.com/elgentos/magento2-mcp
Node.js MCP server that lets Claude query and update products, customers, orders, inventory, promotions and CMS, with optional B2B company tools. Includes setup for Claude Desktop plus a full tool list, parameters and examples for revenue, category and sales analysis.
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https://github.com/Zwernemann/magento2-chat
Adds a storefront chat widget that answers customer questions in natural language, performs semantic product search, and can act on the shopper’s behalf (add to cart, reorder, checkout, account updates) via tool calls. Uses Claude with Voyage embeddings and Pinecone, and includes an indexing CLI, admin dashboard, and per-action permissions.
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https://github.com/DavidBelicza/Magento-AI-Search
Implements semantic search by embedding product text via an external AI server and storing vectors in OpenSearch k‑NN, with fallback to keyword search. Includes architecture, installation/configuration, system requirements, performance estimates, and support for Luma and headless GraphQL.
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https://github.com/mageprince/magento2-mage-ai-predict
Forecast next month's demand per product from sales history with a statistical baseline, optionally refined by OpenAI/Anthropic/Gemini, and get reorder quantities/dates plus overstock/dead-stock flags. Includes a color-coded admin grid, on-demand/cron scheduling, and tunable settings for lead time, safety stock, and history window.
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https://github.com/mage2sk/module-pagebuilder-ai
Adds an AI Content button to PageBuilder and inline AI actions for fields to generate full layouts, copy, and meta fields using OpenAI or Claude. Includes presets, saved prompts, bulk generation, a request audit log, and PageBuilder‑native output; works with Hyvä and Luma.
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https://www.samdjames.uk/blog/magento-ai-operational-maturity/
A priority-ordered roadmap for using AI at speed without chaos: automated deployments, ephemeral environments, E2E and unit tests, static analysis, and security tooling. Explains what “good” looks like, what breaks without each layer, and where to start.
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https://github.com/hiberus-magento/ai-tools
Reusable “skills” and workflow “agents” to extend AI coding assistants (Claude, Copilot, Cursor, etc.), organized under skills/ and agents/, with seamless Dockergento integration. Includes an RFP Analysis Pipeline to extract requirements, generate INVEST user stories with BDD criteria, decompose work items, and produce effort estimates.
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https://github.com/magebitcom/magento2-mcp-module
Provides a /mcp JSON-RPC endpoint so AI agents can read and write store data, with OAuth 2.1 or bearer tokens, per-tool ACLs, audit logging, rate limiting, and origin allowlists. Includes quick-start setup, CLI commands, and optional sub-modules for orders, catalog, customers, CMS, marketing, reports, and GA4.
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https://github.com/gabrielgts/magento-boost
Connects Claude, Cursor, Copilot, Gemini, and others to your codebase via an n98-magerun2–backed MCP server, plus curated guidelines and skills for common workflows. Includes an interactive installer, update command, and an extension system that merges project-specific rules and skills from Composer packages.
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https://github.com/maxnorm/magento2-agent-skills
A collection of 30 agent skills that let AI assistants in Cursor deliver expert guidance across feature implementation, frontend/back‑end work, debugging, performance, and infrastructure. Each skill includes when‑to‑use criteria, step‑by‑step processes, best practices, and links to official docs; MIT‑licensed with contribution guidelines.
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