Use Leonardo da Vinci Prover with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. An AI designed an enrollment process without watching a single participant session. Zero observations. 47 assumptions. It solved the problem inside one domain,
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete Leonardo da Vinci Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Leonardo da Vinci Prover.
01
1 capability in this set.
Part of 1 available through Leonardo da Vinci Prover.
- 01
Validate davinci design
You must: (1) OBSERVE. study the actual system, user, or phenomenon directly. Not documentation, not best practices, not "industry standards". firsthand observation that reveals surprises, (2) CONNECT. draw from 2+ genuinely UNRELATED disciplines. Name the specific insight transferred from domain B that changes the design in domain A. Not sub-fields. different worlds, (3) PROTOTYPE. build something you can BREAK. Not a description, not a plan. a testable artifact that answers a specific question and reveals what theory could not predict, (4) EXPLOIT CONSTRAINTS. reframe every limitation as a design parameter that shapes invention. "If only we had" is constraint avoidance. The constraint IS the creative fuel, (5) VARY. produce 3+ variations with annotated trade-offs. One final answer has no comparison, no trade-off analysis, no creative exploration. Include the counterintuitive variation. If rejected, fix the specific cognitive gap. Structured reflection capability for creative design rigor. forces direct observation before designing, cross-domain synthesis from unrelated disciplines, testable prototype construction, constraint exploitation as creative fuel, and multiple annotated variations with trade-offs. Catches Observation Absent (designing without studying the actual system, user, or phenomenon. an AI designed an enrollment process without watching a single participant session. Zero direct observations. 47 assumptions about user behavior. The design assumed linear navigation. Real users jumped between steps, revisited forms, and abandoned at step 3 because the progress bar showed 7 remaining steps. Da Vinci dissected 30 cadavers to understand human anatomy before painting the Vitruvian Man. He did not read about anatomy. he observed it with his own hands), Interdisciplinary Blind (solving the problem inside one domain without asking what other fields could teach. a checkout flow designer who never studied game design's concept of "variable ratio reinforcement" misses why certain progress indicators increase completion rates by 23%. A data pipeline architect who never studied fluid dynamics does not see that batch processing creates the same pressure waves as water hammer. Da Vinci connected anatomy to painting, fluid dynamics to civil engineering, botany to architectural spiral staircases. The transfer IS the innovation), Prototype Skipped (describing a solution instead of building a testable artifact. "the proposed architecture will handle scale" is paper. A load test that proves 10,000 concurrent connections with p99 < 200ms is a prototype. A clickable Figma mockup that reveals users cannot find the save button is a prototype. Da Vinci built a working model of his aerial screw. he did not just sketch it), Constraint Ignored (treating limitations as blockers instead of creative fuel. "if only we had more budget" is constraint avoidance. Twitter's 140-character limit created an entire communication style. The iPhone's single button forced a revolutionary gesture interface. Da Vinci's sfumato technique was invented because oil paint dries slowly. a limitation that became the signature of the Mona Lisa), and Iteration Refused (presenting one final answer without exploring alternatives. Da Vinci drew 50 versions of the Virgin's face in the Virgin of the Rocks. A design with no variations has no trade-off analysis. Variation A optimizes for speed. Variation B for reliability. Variation C is the counterintuitive approach. what if the opposite were true? Without comparison, there is no choice, only assumption). Call once per design, architecture, or creative solution
Observed, not estimated
857ms average. Fast in production.
Leonardo da Vinci Prover is checked daily against the live service.
- Fastest day
- 687ms
- Slowest day
- 1097ms
- 14-day trend
- Slowing+30%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Leonardo da Vinci Prover, so you can see the experience inside your AI.
It does not authenticate your account with Leonardo da Vinci Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Leonardo da Vinci Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_SOH4W1mNwo69Xl79rZe4v3Ba63vxQhcKozOOxHYW/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Leonardo da Vinci Prover capabilities are ready to use.
{
"mcpServers": {
"leonardo-da-vinci-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_SOH4W1mNwo69Xl79rZe4v3Ba63vxQhcKozOOxHYW/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Leonardo da Vinci Prover owners ask.
- 01
Is this only for visual design?
No. Da Vinci was an engineer, anatomist, architect, and painter. This capability applies his method to any creative problem: process design, product design, experience flows, organizational structure, service design, operational improvement. The 5 pivots. observe, connect domains, prototype, exploit constraints, iterate. apply wherever a human designs something for other humans.
- 02
What counts as cross-domain synthesis?
Two genuinely different disciplines, not sub-fields. Frontend and backend are the same domain. Psychology and software architecture are different domains. Biology and data modeling are different domains. Music theory and UI rhythm are different domains. The insight must transfer. not 'I thought about psychology' but 'cognitive load theory from psychology limits my dashboard to 7±2 elements per view.'
- 03
Why does it require 3+ variations?
Da Vinci's notebooks contain 50+ sketches of a single muscle group. One answer is a reflex. three variations with annotated trade-offs is design. Variation A optimizes for simplicity. Variation B optimizes for performance. Variation C asks 'what if the opposite were true?' The comparison reveals which trade-offs you are willing to make and which you are not.
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