doQment is an MCP-as-a-service platform that lets AI agents instantly spin up domain-specific knowledge servers. Instead of copy-pasting docs or waiting for every site to adopt the Model Context Protocol, doQment crawls any domain you choose, structures the content, and returns a ready-to-use MCP endpoint. Agents and coding IDEs like Claude Code or Cursor can then connect directly, search, and retrieve information without extra glue code or SDK setup.
Each crawl is ephemeral by design: scoped keys, auto-expiring servers, and predictable pay-per-use billing make it lightweight and secure. The system exposes pages, search, and retrieval as native MCP tools, supporting rich crawls that capture not just text but also forms, tables, and images. With free credits for new accounts, users can immediately test workflows and see how fast doQment integrates into their existing agent pipelines.
For developers, researchers, and AI builders, doQment bridges the gap between static web documentation and agent-ready knowledge systems. It’s an efficient way to equip coding assistants with clean, structured corpora from real websites in minutes, transforming any domain into a fully functional MCP-like backend. The result: faster prototyping, richer automation, and fewer interruptions in workflow.
