doQment

doQment

WebsiteFreemiumAI PDFAI Web Scraper
doQment is a versatile platform that combines a modified PDF viewer browser extension with an MCP-as-a-service solution, allowing users to both view PDFs with customizable themes and transform websites into comprehensive information retrieval systems for AI coding agents.
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doQment

Product Information

Updated:Sep 9, 2025

What is doQment

doQment exists in two main forms: as a browser extension for enhanced PDF viewing and as a web service for AI agents. The PDF viewer component is built on Mozilla's PDF.js with added features like reader mode, color themes, and smart zooming capabilities. The web service aspect functions as an MCP (Model Context Provider) that enables AI agents to efficiently process and retrieve information from websites. It's designed to bridge the gap between human readability and AI accessibility, offering both a comfortable reading experience for users and structured data access for AI systems.

Key Features of doQment

doQment is a versatile tool that combines two main functionalities: a PDF viewer extension with reader mode capabilities and an MCP-as-a-service platform for AI agents. The PDF viewer offers customizable themes, annotation features, and smart zooming, while the MCP service enables users to transform websites into structured knowledge bases for AI agents through crawling and API endpoints. It provides both human-friendly UI features and agent-ready tools for document management and information retrieval.
Enhanced PDF Viewer: Modified version of Firefox's PDF viewer with Light & Dark themes, smart zooming, annotation tools, and form-filling capabilities
MCP-as-a-Service: Converts websites into structured knowledge bases with instant MCP endpoints for AI agents to read, search and retrieve information
Automated Crawling System: Provides configurable crawling modes to extract content from websites with options for page limits, depth, and subdomain inclusion
Secure Document Management: Offers ephemeral connections and scoped keys for temporary access, ensuring security and privacy in document handling

Use Cases of doQment

AI Development Integration: Developers can integrate website content into their AI agents for enhanced information retrieval and processing
Academic Research: Researchers can comfortably read and annotate PDF documents while also creating structured databases from academic websites
Documentation Management: Organizations can transform their documentation websites into searchable, AI-ready knowledge bases
Accessibility Enhancement: Users with visual preferences or accessibility needs can customize PDF viewing experience with different themes and zoom options

Pros

Zero integration requirement with simple REST API implementation
Comprehensive feature set combining PDF viewing and AI-ready content processing
Pay-per-use pricing model with predictable billing

Cons

PDF rendering may slow down in Reader Mode
Limited crawl duration and page limits in default mode
Requires separate configurations for different browsers (MV2 for Firefox, MV3 for Chromium)

How to Use doQment

Create an account: Sign up for a new doQment account to receive free initial credits for testing
Initiate a crawl: POST to /api/v1/domains/crawl with JSON payload containing domain URL and mode (e.g. {"domain":"https://example.com","mode":"DEFAULT"})
Get crawl details: From the response, obtain the crawl_id and mcp_connection details which include an SSE JSON-RPC URL
Monitor crawl status: Either poll status using JSON-RPC 'crawl/status' endpoint or check progress on the dashboard. Wait for crawl completion
Connect to AI agent: Once crawl is complete, use the mcp_connection details to connect to your AI coding agent (supports Cursor, Claude Code, or other agents)
Start using tools: Your AI agent can now use the MCP tools to search, retrieve and process information from the crawled website

doQment FAQs

doQment is a MCP-as-a-service platform that transforms any website into a comprehensive information retrieval system for AI coding agents. It allows users to crawl websites and create structured data that AI agents can easily access and query.

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