BuiltWith MCP Server

BuiltWith MCP Server

The BuiltWith MCP server bridges AI assistants and the BuiltWith technology‑detection API, enabling natural‑language queries about a website’s underlying stack. Developers can ask questions such as “What CMS does example.com run on?” or “Which analytics tools are present on nytimes.com?”, and the server retrieves, formats, and delivers that information in a conversational format.

This tool solves the problem of manually sifting through API responses to understand a site’s technology landscape. By exposing a single, well‑defined MCP endpoint, it removes the need for developers to write custom integration code for each AI assistant. The server handles authentication, rate‑limiting, and data formatting automatically, allowing the assistant to focus on conversation flow rather than API plumbing.

Key capabilities include:

• Domain lookup that returns a comprehensive profile of every technology detected on the target site, from frameworks and CMSs to analytics services and hosting providers.
• Comparative analysis between multiple domains, letting users quickly spot differences in stack choices or shared infrastructure.
• Natural‑language processing: the server interprets user queries, maps them to BuiltWith API calls, and returns human‑readable summaries.

Real‑world use cases span web developers performing competitive analysis, marketers assessing technology adoption trends, and security teams auditing third‑party scripts. In a typical workflow, an AI assistant receives a user prompt, forwards it to the BuiltWith MCP server, and then presents the extracted stack details as part of a broader conversation or report.

What sets this server apart is its tight integration with the BuiltWith ecosystem and its minimal configuration requirements. Once an API key is stored in the MCP configuration, any MCP‑compatible assistant—Claude Desktop, VS Code’s Cursor, or other tools—can instantly query technology stacks without additional coding. This plug‑and‑play model accelerates development, reduces boilerplate, and ensures consistent, up‑to‑date data across projects.