List of Agenta Store Integrations
This is a list of platforms and tools that integrate with Agenta Store. This list is updated as of November 2026.
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WooCommerce
Automattic
Empower your online store with endless customization possibilities.WooCommerce is the world’s leading open-source ecommerce platform built on WordPress, empowering millions of merchants to design and operate completely customizable online stores. Its flexible architecture allows businesses of all sizes—from startups to large enterprises—to tailor every aspect of their store’s look, feel, and functionality. WooCommerce boasts an extensive ecosystem of thousands of extensions and themes that enable merchants to add advanced features like subscriptions, memberships, and complex shipping options. The platform integrates effortlessly with popular payment gateways, marketing tools, and logistics providers to streamline order processing and customer engagement. Merchants can sell across multiple channels including online storefronts, social media, marketplaces, and in-person through point-of-sale systems. WooCommerce offers comprehensive analytics and reporting features to help merchants monitor performance and optimize sales strategies. Developers have access to powerful APIs, frameworks like Hydrogen, and developer resources to build custom apps, themes, and headless commerce experiences. Supported by a large community and backed by Automattic, WooCommerce continuously innovates with new features and security enhancements. Successful brands like Nutribullet, House of Malt, and Dan-O’s Seasoning rely on WooCommerce to scale their ecommerce operations. Overall, WooCommerce provides merchants with full control, scalability, and creative freedom to grow their online business. -
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Model Context Protocol (MCP)
Anthropic
Seamless integration for powerful AI workflows and data management.The Model Context Protocol (MCP) serves as a versatile and open-source framework designed to enhance the interaction between artificial intelligence models and various external data sources. By facilitating the creation of intricate workflows, it allows developers to connect large language models (LLMs) with databases, files, and web services, thereby providing a standardized methodology for AI application development. With its client-server architecture, MCP guarantees smooth integration, and its continually expanding array of integrations simplifies the process of linking to different LLM providers. This protocol is particularly advantageous for developers aiming to construct scalable AI agents while prioritizing robust data security measures. Additionally, MCP's flexibility caters to a wide range of use cases across different industries, making it a valuable tool in the evolving landscape of AI technologies.
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