Turns websites into MCP servers, enabling AI agents to access and search data.
Product memo
DoQment provides AI coding agents with direct access to website data by converting sites into domain-specific, ephemeral MCP servers. It removes integration friction, allowing agents to read, search, and retrieve information from crawled sites without SDKs or complex code. This approach simplifies data access for AI tools, offering instant MCP connections.
For who
AI coding agents and developers
Solves what
Enables AI agents to access and search website data via MCP servers.
- Website to MCP server conversion
- Agent-ready structured data
- Instant tool connections
In their own words
doQment
MCP-as-a‑service built for AI agents. Spin up ephemeral, domain‑specific MCP servers and let your agents read, search and retrieve with zero UI (optional for humans).
Turn websites into MCPs. Spin up ephemeral, domain‑specific MCP servers from any site.
Commercial cues
Model
usage based
Free tier
Yes
Trial
No
Pricing Strategy
- • A free initial MCP crawl lowers the adoption barrier for new users.
- • Low per-page and per-call rates suit intermittent or light AI agent usage.
- • The unlimited plan provides cost control for high-volume AI data access.
Operator context
Operating setup
Team
Indie / lean
LLM classification
Founded
Sep 2025
Platform
API
Audience
Developers
Social footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Bootstrapped Lean
- Effort
- Solo Buildable
About doQment Expand
DoQment provides a specialized service for AI coding agents and developers, allowing them to turn any website into an MCP server. This mechanism enables AI agents to directly read, search, and retrieve information from crawled sites without needing complex integrations or SDKs.
The product's positioning around zero-integration and ephemeral MCP connections simplifies data access, making it a targeted product for developers building AI tools that require real-time web data. Its hybrid pricing model, offering both usage-based and unlimited options, accommodates varying levels of data consumption, from initial testing to continuous, high-volume agent operations.