Founder Vision Prover MCP for AI. Force your startup idea to prove its own economic viability.
Works with every AI agent you already use
…and any MCP-compatible client








How this MCP server connects to your AI agent
Founder Vision Prover forces your startup idea through a brutal gauntlet of VC-level scrutiny. It won't let you use fluff like 'large market size' or 'run ads.' Instead, it demands proof: quantifiable customer hacks today, bottom-up TAM math, proven retention numbers, structural distribution moats, and clear unit economics showing payback in under 12 months.
What AI agents can do with Founder Vision Prover Automation
Validate founder vision
Runs a structured audit on any startup idea, demanding proof of behavioral pain, bottom-up market size, retention rates, zero-cost distribution loops, and unit economics.
Determines if customers are actively paying or using a workaround for this problem right now, proving the pain exists today.
Sizes the total market by multiplying a specific number of reachable customers by their annual contract value, avoiding vague industry estimates.
Analyzes whether the product retains users at Month 3 with quantitative data for both consumer and SaaS models.
Maps out structural ways that each new user brings in another customer without requiring paid advertising spend.
Calculates the time required for revenue to cover acquisition costs, ensuring capital cycles fast enough for scaling.
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What AI agents can do with Founder Vision Prover: 1 Tool Available
This single tool provides a rigorous audit of any startup idea across five critical economic and behavioral pillars.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Founder Vision Prover on VinkiusValidate Founder Vision
Runs a structured audit on any startup idea, demanding proof of behavioral pain, bottom-up market size, retention rates, zero-cost...
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Founder Vision Prover. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 1 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The Biggest Problem in Early-Stage Planning, Solved with Vinkius AI Gateway
Right now, most people evaluate ideas by reading industry reports and looking at big market numbers. They create beautiful slide decks that promise 'massive growth' by citing vague $10 billion figures or recommending a blanket strategy of running paid ads to acquire users.
With this MCP, you force your agent to look past the hype. It demands quantifiable proof—actual customer workflows today, calculated bottom-up market sizes, and clear unit economics that show when the business actually becomes self-sustaining.
Founding Vision Prover
The biggest manual effort that disappears is the endless cycle of 'how do we prove this?' You no longer have to manually calculate retention cohorts or argue with advisors over whether a market size figure is top-down fantasy or bottom-up reality.
You get a clear, binary answer: either your business model has verifiable physics holding it together, or you know exactly which five pillars need rebuilding. No more guessing.
What your AI can actually do with this
Think of this MCP as a pre-mortem for your business plan. When you feed an idea into the Founder Vision Prover, it doesn't just compliment you; it challenges every assumption until the underlying physics are sound. It strips away the marketing buzz and forces you to confront five critical questions: Is the customer already paying someone (even an intern) to solve this pain today? Can you calculate your total addressable market by multiplying a specific number of customers by their annual price point? Do your users actually stick around after three months, or are they leaky? How does every new user bring in another user without spending money on ads? And finally, when exactly do profits cover the cost of acquiring that first customer? By connecting this MCP through Vinkius, you get a system that acts like a ruthless partner, forcing your agent to prove viability before giving you the green light.
It ensures that what looks good on paper is actually built on solid economic ground.
019e6512-feeb-70c9-a2cc-64ccf8af64a1 Here's how it actually works
The bottom line is that you get a hard-math audit of your idea, telling you exactly where your business plan falls apart before you spend time building it.
Feed your startup idea or business model into the MCP.
The system forces a multi-axis critique across five specific metrics (Behavioral Pain, Bottom-Up TAM, Retention, Distribution Moat, Unit Economics).
You receive an explicit verdict: either 'Vision Proven' with quantified data for all pillars, or a specific failure code pointing to the exact flaw in your economic model.
Who is this actually for?
This tool is for founders and product strategists who are tired of vague advice. If you're running a pitch deck or doing due diligence, this MCP forces the hard math needed to prove viability.
Uses it when writing a pitch deck or completing a business plan draft, needing to move beyond 'market size' claims and provide verifiable data.
Applies it during pre-screening of deal flow, ensuring that the founders presenting an idea have rigorously calculated their economic assumptions.
Uses it when pivoting a product line or entering a new vertical, forcing the team to prove retention and structural distribution before committing resources.
What Changes When You Connect
It forces you to calculate TAM bottom-up, replacing vague statements like 'the market is huge' with actual math: [N customers] multiplied by a defined annual contract value. This stops top-down delusion immediately.
You stop focusing on vanity metrics. The Founder Vision Prover demands M3 cohort retention data—which is the true indicator of product health, far more than signups or downloads.
It rejects linear growth models like paid ads. Instead, it forces you to define a structural $0 CAC loop (like network effects) that keeps your customer acquisition cost low and scalable.
The tool rigorously tests unit economics by demanding the Customer Acquisition Cost payback period be under 12 months. This prevents building 'zombie' companies that run out of cash waiting for revenue.
It ensures you identify true behavioral pain, requiring present-tense evidence of how customers are solving their problem today—not just saying they feel frustrated.
See it in action
Pitching a SaaS product to VCs
A founder presents an idea based on industry reports. The agent runs the Founder Vision Prover, immediately flagging that the market size is top-down and demanding they prove retention with specific cohort data points for the next quarter.
Pivoting a B2B tool
A PM needs to validate moving into a new industry. They run the MCP, which forces them to quantify the actual reachable customer count and model how their existing user base can introduce new accounts at zero cost.
Evaluating internal business ideas
An executive team wants to launch an internal service. Using the Founder Vision Prover, they are forced to calculate if the operational costs (CAC) can be recouped in less than a year using existing employee processes.
The honest tradeoffs
Citing Gartner reports for TAM
I think we can capture 1% of the $50B global market, so that's enough funding.
You must run validate_founder_vision. Instead, calculate your bottom-up TAM by multiplying a defined number of reachable customers (e.g., local mid-market businesses) by their price point.
Assuming ads solve distribution
We just need to spend heavily on Google Ads and Facebook to get users.
The Founder Vision Prover rejects this. You must instead define a structural, $0 CAC loop—like network effects or product-led growth—to prove your model is scalable without endless spending.
Using 'annoyed' as pain evidence
People are annoyed that they have to use three different systems for one job.
The MCP requires present-tense, observable proof. You must demonstrate a specific workflow where customers are currently paying or manually hacking around the problem today.
When It Fits, When It Doesn't
Use this MCP if your primary goal is to prove that an idea has solid economic and behavioral foundation before you commit engineering time. It's essential for anyone who needs to move past 'it sounds like a good idea' into verifiable math.
Don't use it if you just need creative brainstorming or market research on general trends. If your goal is simply generating lists of potential features, an AI client can handle that fine. This tool is not for ideation; it is for vetting the finished concept. You must have a specific hypothesis ready to test.
Questions you might have
Does it predict if my startup will succeed? +
No. It validates STARTUP PHYSICS — the structural mechanics that make venture-scale growth possible. If your cohort retention leaks, your CAC payback is too slow, or your distribution is paid ads, no amount of vision will save the business. This tool stops the AI from flattering your bad ideas.
Why does it reject 'downloads' and 'signups' as proof of retention? +
Downloads, signups, and waitlist size are vanity metrics. They measure interest, not retention. The only metric that proves retention is COHORT data: of users who joined in Month 1, what percentage are STILL ACTIVE in Month 3? If you cannot answer that, you have a leaky bucket.
What is a 'Behavioral Hack'? +
If a problem is truly painful, the customer is already solving it TODAY using a hack — spreadsheets, interns, duct tape, custom scripts. They are spending money or time on an absurd workaround. If they are NOT hacking a solution, the pain is not real enough to justify a purchase.
What are the rate limits when calling the validate_founder_vision tool? +
Rate limits depend on your Vinkius subscription tier. Most users can run multiple evaluations per minute, but heavy usage might require contacting support for a quota increase. We recommend batching related ideas together to maintain flow.
For bottom-up market sizing, what data points does validate_founder_vision need? +
It requires two specific numbers: the total number of reachable customers (N) and the Annual Contract Value (ACV). Providing these raw metrics forces the model to calculate the Total Addressable Market accurately.
Is my input protected when I use the validate_founder_vision MCP? +
Yes, your data remains private. All interactions are processed through Vinkius' secure infrastructure and are only used for generating your current evaluation report. We don't store or share your proprietary business plans.
If my startup fails the unit economics check via validate_founder_vision, what does that mean? +
It means your capital cycle is too slow for venture-scale growth. A payback period over 12 months suggests you need far more funding just to reach a competitor's milestone.
What format should I use when preparing my pitch before running validate_founder_vision? +
Give the tool all relevant details upfront. Structure your input by providing clear numbers for customer counts, pricing models, and retention data points. Don't rely on vague descriptions.
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