QED42 Uses MCP Server to Connect Drupal Content with AI Agents

Vignesh Sadagopal of QED42 has demonstrated how Drupal’s structured content can be integrated with a custom Model Context Protocol (MCP) server to support AI-powered applications. MCP is an emerging standard for managing context between applications and language models. It serves as a middleware layer that enriches, filters, and structures input before sending it to an AI model, and processes the output before returning it to the user. This architecture enables more advanced multi-step interactions than traditional API calls.

Vignesh’s implementation connects a Drupal site containing property listings to a custom MCP server using JSON:API. The server exposes tools to query property data by location, price, and availability, and is linked to a client application such as VS Code Insider for real-time chat-based interaction. The MCP tools extract and format Drupal content while the AI agent handles user queries based on that context. As more organizations adopt AI in production, tools like MCP are playing a growing role in connecting internal systems to language models. Full implementation details and source code are available from the blog post written by Vignesh on QED42 website.