Generate ephemeral, domain-specific Model Context Protocol servers directly from any website, enabling structured, programmatic access to its content for AI agents and developer tools.
doQment is a developer tool that converts any website into a Model Context Protocol (MCP) server, enabling LLMs to interact with web content as structured, queryable data. Its primary purpose is to let you rapidly spin up ephemeral, domain‑specific MCP servers backed by existing sites, without writing custom backends or scrapers. This makes it easier to integrate arbitrary web resources into AI‑driven workflows and tools that speak MCP natively.
Under the hood, doQment crawls and normalizes website content, then exposes it through a consistent MCP interface that LLMs and MCP‑compatible clients can consume. It supports domain‑scoped context, so each ephemeral server is tightly focused on a particular site or knowledge domain, reducing noise and improving relevance. Developers can configure how content is segmented, indexed, and exposed as tools or resources, allowing fine‑grained control over what the LLM can see and do. Because servers are ephemeral, you can spin them up on demand for experiments, one‑off tasks, or short‑lived projects without long‑term infrastructure overhead.
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