doQment

About doQment

doQment is an AI-powered tool that transforms websites into temporary MCP-style information retrieval servers. It enables users to crawl entire sites, including pages, sub-pages, and components, and then connect AI coding agents to interact with the gathered data seamlessly.

Review

doQment offers a novel approach to managing and accessing web-based information for AI coding agents. By automating the crawling and indexing process, it simplifies how developers and AI systems retrieve context from documentation and code repositories. This tool is particularly useful for those looking to integrate diverse web content into AI workflows without manual copying or data preparation.

Key Features

• Automated crawling of websites including pages, sub-pages, sub-domains, and various components like images and links.
• Creation of ephemeral MCP servers that provide AI agents full access to the crawled data.
• Real-time crawl updates to keep the information current and relevant for AI interaction.
• Easy integration with popular AI coding agents such as Cursor, OpenAI Codex, and Claude Code via simple connection protocols.
• Support for up to three simultaneous MCP servers, allowing multi-domain crawling and connection.

Pricing and Value

doQment operates on a pay-per-use pricing model, charging approximately $0.001 per page crawled. New users receive free credits to experiment with the tool before committing financially. This low-cost, usage-based approach makes it accessible for individual developers and small teams who require occasional or scalable crawling without upfront expenses. The pricing model aligns well with the value delivered, especially given the automation and integration convenience.

Pros

• Simple setup process: create an account, crawl a website, and connect AI agents quickly.
• Cost-efficient with very low per-page crawling costs and free initial credits.
• Supports comprehensive crawling including sub-pages, domains, and components, ensuring rich data capture.
• Real-time updates keep the MCP servers synchronized with source websites.
• Compatibility with multiple AI coding agents streamlines integration.

Cons

• Limited to three active MCP servers simultaneously, which may constrain larger scale projects.
• As a newly launched tool, some features and scalability options are still under development based on user feedback.
• Users unfamiliar with MCP server concepts or AI integration may face a learning curve initially.

doQment is well-suited for developers and teams looking to efficiently incorporate web documentation and code resources into AI coding environments. It works best for projects that need dynamic access to web content without manual data extraction. With its low-cost model and easy connectivity, it is an attractive option for those exploring AI-assisted coding and automated data retrieval workflows.