# Pitch Deck Prover MCP for AI Agents AI Agent Connect > Pitch Deck Prover is a validation engine for startup fundraising. It forces your AI client to move past belief statements and vanity metrics by demanding hard evidence for market size, unit economics, and traction. Instead of letting an agent hallucinate a massive market, this Connector requires sourced data and specific milestones, ensuring your pitch deck survives a real VC meeting. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_d8rIjlQBVQn4yHiEd207mKiGwg2YGmijpH16RXac/ai-agent-connect - **Tags:** pitch-deck, fundraising, startup, tam-sam-som, unit-economics, traction, investor-readiness, venture-capital ## Description When you ask an agent to build a pitch deck, it usually defaults to the easiest path. It might claim a massive market because it sounds good, or list 10,000 signups as traction while ignoring the fact that nobody is actually paying. Pitch Deck Prover stops that cycle. It acts as a rigorous gatekeeper that forces your agent to provide the specific details investors actually care about. It demands to see user interview counts, specific pricing tiers, and a clear breakdown of how every dollar of funding will be spent. By connecting this through the Vinkius catalog, you turn your AI into a battle-hardened consultant that won't let you ship a deck until the math actually adds up. You get a narrative that is backed by methodology rather than vibes, making your fundraising process significantly more professional and less likely to get tossed in the first eight minutes. It catches the semantic traps where an agent might use flowery language to hide a lack of data. You stop guessing and start presenting a business case that can actually survive a real meeting. ## Tools ### validate_pitch_deck Checks a pitch deck against 5 core pivots including problem evidence, market sizing, unit economics, traction, and specific asks. It returns a verdict and specific coaching on what to fix. ## Prompt Examples **Prompt:** ``` I have a startup idea for a new AI coding tool. Write a pitch deck for a seed round. ``` **Response:** ``` I've started the draft, but we need to be careful. To move forward, I need you to use the validation tools to prove the market size. We can't just say it's huge. Tell me: * What's the specific TAM? * What methodology are we using to get there? * What is our specific SOM for the first 18 months? I'll wait for those details before we finish the market slide. ``` **Prompt:** ``` Can you look at my current traction? We have 20,000 signups and a lot of people are using the beta. ``` **Response:** ``` That's a great start for awareness, but for a pitch deck, we need to show commitment. I'm going to run a check on this. We need to find out: * What is the Day-30 retention? * What percentage of those 20,000 signups have converted to paid users? * What is our current MoM growth rate? Once we have those, we can present a much stronger traction slide. ``` **Prompt:** ``` How should I ask for $3 million in funding? ``` **Response:** ``` Instead of just asking for $3M to grow, we need to be specific. I'll help you build a breakdown. We need to show: **Funding Allocation:** * 60% Engineering * 25% Sales * 15% Marketing **Key Milestones:** * Month 6: NPS > 40 * Month 12: $50k MRR * Month 18: Series A readiness This gives investors a clear roadmap for their capital. ``` ## Capabilities ### Verify evidence for problem statements It forces the agent to cite specific user interviews and quantified spend on workarounds instead of using generic beliefs. ### Validate market sizing with sources It requires named sources and specific methodologies for TAM, SAM, and SOM calculations. ### Audit unit economics and margins It checks for CAC, LTV, and gross margins to ensure your business model is actually profitable. ### Filter out vanity traction metrics It rejects signups and downloads in favor of MRR, NRR, and cohort retention data. ### Structure fundraising asks with milestones It requires a specific use of funds breakdown and measurable milestones linked to your runway. ## Use Cases ### The Vibe-Based Founder A founder asks for a deck for a huge market. The agent identifies the problem as unvalidated and demands user interview counts and quantified pain points. ### The Unit Economics Audit A startup claims high growth but low margins. The Connector identifies the structural problem of high GPU costs vs. LTV and demands a gross margin check. ### The Traction Reality Check An agent lists 50k downloads. The Connector rejects it as vanity and asks for Day-30 retention and paid conversion rates to show real commitment. ### The Precise Fundraising Ask A founder wants $2M. The Connector forces a 60/25/15 allocation, 18-month runway, and specific milestones like NPS targets or MRR goals. ## Benefits - Stop the Market Fantasy by forcing the agent to provide sources for TAM, SAM, and SOM using validate_pitch_deck. - Get real unit economics like CAC and LTV/CAC ratios instead of vague freemium plans via validate_pitch_deck. - Move beyond vanity metrics to show actual MRR, NRR, and cohort retention data with validate_pitch_deck. - Ensure every dollar of your ask has a job by requiring a use of funds breakdown in validate_pitch_deck. - Avoid Problem Fabrication by making the agent cite specific user interviews and quantified spend on workarounds. - Get a consistency engine that catches contradictions between your claimed traction and your actual revenue. ## How It Works The bottom line is you get a pitch deck that is actually ready for a VC meeting instead of a collection of hallucinations. 1. Input your pitch deck draft or startup narrative into your AI client. 2. The agent calls the validation tools to check each section against investor standards. 3. You get a verdict matrix score and specific coaching on what data points are missing. ## Frequently Asked Questions **What is Pitch Deck Prover for?** Pitch Deck Prover is a validation tool that ensures your startup pitch deck contains hard evidence. It forces your AI agent to provide real market data, unit economics, and specific fundraising asks rather than letting it guess. **How does Pitch Deck Prover help with VC meetings?** It prevents you from being embarrassed by 'hallucinated' numbers. By forcing the AI to cite sources and specific metrics, it ensures your deck survives the first meeting with a professional investor. **Can Pitch Deck Prover check my unit economics?** Yes. It specifically looks for CAC, LTV, and gross margins. It ensures your business model is actually profitable and not just a 'freemium' plan with no clear path to revenue. **Does Pitch Deck Prover help with market sizing?** It requires the AI to provide a specific methodology for TAM, SAM, and SOM. It moves the narrative from 'it's a huge market' to a grounded, sourced analysis. **How does Pitch Deck Prover handle traction metrics?** It filters out vanity metrics like total downloads. It focuses on what investors actually want to see, such as MRR, NRR, and cohort retention rates. **What happens if my pitch deck fails the validation?** The Connector provides specific coaching. It identifies exactly which section is weak, such as a lack of user interview evidence or a vague funding ask, so you can fix it before presenting. **Does it create pitch deck slides?** No. It validates that your pitch narrative addresses the five elements investors evaluate — validated problem, sourced market sizing, defined business model, demonstrated traction, and specific ask. It does not generate content. It forces you to prove your content is investor-ready. **What counts as valid traction?** Revenue (MRR/ARR), active users with cohort retention rates (D7, D30), week-over-week or month-over-month growth rate over 3+ periods, and engagement metrics (key action frequency per user). Downloads, waitlist signups, social media followers, demo requests, and 'strong interest' are vanity — they measure awareness, not value delivery. **Can pre-revenue startups use this?** Yes. Pre-revenue traction includes: LOIs (letters of intent with named companies), paid pilots (even at discount), design partners with contractual commitments, or validated waitlists with deposit or credit card on file. The tool does not require revenue — it requires evidence that someone will pay. 'Strong interest' without commitment is not evidence.