Corsen Context is a WordPress plugin designed to make WordPress sites accessible and understandable to AI agents. By implementing a universal AI context layer, it enables platforms such as Claude, ChatGPT, Cursor, Grok, and any agent compatible with the Model Context Protocol (MCP) to interpret and interact with site content directly. This is achieved without requiring any configuration from the site owner, as the plugin works immediately upon installation.
The plugin introduces two main capabilities to WordPress sites. The static layer automatically generates /llms.txt and /llms-full.txt files, each containing a structured markdown summary of all published site content. These files are intended for AI agents to quickly gain an overview of the site’s material. The dynamic layer exposes a full MCP server at a specified endpoint, providing four tools: searching the site, retrieving any page as clean markdown, listing content by type, and accessing the full sitemap. This dynamic interface allows AI agents to interact with the site in a more granular and flexible manner.
Corsen Context is aimed at WordPress site owners who want to make their content directly consumable by AI systems without manual integration. The plugin is delivered as a standard WordPress extension and requires only a one-click installation process. It is compliant with the MCP 2025-11-25 standard, supporting operations such as initialize, ping, and tools/list.
By bridging WordPress content and AI agents through structured data and a protocol-compliant server, Corsen Context addresses the need for seamless AI integration on content-rich websites.
Corsen Context sits in PulseGate's AI & ML category. It focuses on allowing AI agents to access and understand WordPress site content through standardized protocols. It is built as a B2B product for wordPress site owners integrating with AI agents. The product is available for free. It runs on the web and macOS.
It is developed by corsenai, and the product first shipped in 2026. Development happens publicly on GitHub with 6 commits in the last 90 days. Key capabilities include MCP server, llms.txt generation, and markdown export. The interface is available in Ewe and English. It exposes integrations via an MCP server.
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