Pitch Deck Prover MCP for AI. Test your entire business case before showing it to anyone.

Q: What does validatepitchdeck check besides just market size?

validatepitchdeck checks five areas: problem evidence, source market sizing, defined unit economics (CAC/LTV), revenue traction, and the specificity of your funding ask. It’s a full audit, not just a quick review.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

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Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Pitch Deck Prover forces you to validate your startup pitch against five investor criteria—Problem, Market, Model, Traction, and Ask. It runs an evidence check on your entire fundraising narrative, ensuring you have sourced data, defined unit economics, retained users, and a measurable path forward before you ever meet a VC.

What your AI can do

Validate pitch deck

Runs a complete, rigorous check on your pitch deck to validate problem evidence, market sizing, unit economics, paid traction, and funding asks against investor standards.

Validate Problem Evidence

It checks if you have quantified evidence of a pain point, like user interview counts or current workaround spending.

Source Market Sizing (TAM/SAM/SOM)

It verifies that your total addressable market numbers come from named sources and follow established calculation methodologies.

Calculate Unit Economics

You define profitability by specifying CAC, LTV, gross margin percentages, and payback periods for the business model.

Verify Revenue Traction

It tests if your reported growth metrics are based on paid revenue (MRR/ARR) or measurable user retention cohorts.

Define Specific Funding Ask

You break down the requested capital into specific percentages for use of funds, clear milestones, and a runway calculation.

Ask an AI about this

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AI Agent

Pitch Deck Prover: 1 Tool for Investor Readiness

This single tool runs a rigorous, multi-faceted audit on your entire pitch deck narrative, ensuring every claim has hard data before you present.

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 Pitch Deck Prover on Vinkius

Validate Pitch Deck

Runs a complete, rigorous check on your pitch deck to validate problem evidence, market sizing, unit economics, paid traction, and funding...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Pitch Deck Prover integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "pitch-deck-prover": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Pitch Deck Prover tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"pitch-deck-prover": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Pitch Deck Prover, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pitch Deck 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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Works with 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.

Pitch decks today are full of assumptions and buzzwords.

Most founders build narratives based on what they *believe* is true: 'Everyone has this problem,' or 'The market is massive.' They fill slides with impressive-sounding numbers—a $5B TAM, 10k users—but these figures are usually pulled from a Google search without any methodology.

With Pitch Deck Prover, your agent forces you to replace belief statements with evidence. The tool demands sourced data for market sizing and requires quantifiable user pain points (e.g., 'Users spend $X/month on manual workarounds'), immediately elevating your deck above guesswork.

Pitch Deck Prover: Guarantee investor-ready rigor.

It eliminates the common pitch failures: vague asks, vanity traction, and undefined business models. You don't just get a 'Pass' or 'Fail'; you get a detailed report showing exactly why your LTV/CAC ratio is too low or how your market sizing needs to be filtered from TAM down to SOM.

The result isn't just a better deck; it’s an operationally sound business plan. Your agent makes sure every dollar and every milestone is accounted for, giving you the confidence to walk into any meeting knowing your foundation is solid.

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What your AI can actually do with this

You're building a pitch deck for VCs. You think it looks killer. It might, but pretty damn sure it doesn't pass the sniff test.

validate_pitch_deck runs a complete, rigorous check on your entire fundraising narrative. This tool verifies five major areas—problem evidence, market sizing, unit economics, paid traction, and funding asks—against what actual investors demand before they write you a check. It forces you to prove out your business model using hard data, not just good slides.

When you run validate_pitch_deck, the system checks if you can validate the core problem evidence by looking for quantified pain points. You gotta show proof that people are hurting; we're talking things like counts from user interviews or dollars currently being spent on clunky workarounds, not just anecdotes about a bad day.

If you don't nail down specific numbers proving the pain point exists, your deck fails right there.

It also checks your market sizing by requiring that your Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) figures are sourced from named research groups. The tool verifies these numbers follow established calculation methodologies. You can't just throw around 'billion-dollar opportunities'; you need a traceable source for every single number.

For your business model, the system demands that you calculate unit economics accurately. Defining profitability means specifying key metrics like Customer Acquisition Cost (CAC), Lifetime Value (LTV), gross margin percentages, and payback periods. If you can't build a clear financial path showing how profitable your core transactions are, your deck is useless.

The tool verifies revenue traction by testing if your reported growth metrics are based on actual paid revenue—specifically Monthly Recurring Revenue (MRR) or Annual Recurring Revenue (ARR). It also checks for measurable user retention cohorts. Downloads and waitlist sign-ups don't count; the system needs to see sticky, paying usage that proves people aren't just dipping their toes in.

Lastly, it forces you to define a specific funding ask. You gotta break down the requested capital into exact percentages for use of funds, tie those funds to clear milestones, and provide an accurate runway calculation. This isn't asking for money; this is presenting an audited spending plan. The output gives you five distinct verdicts—whether your problem has proof, if your market numbers are sourced correctly, if your economics hold water, if your traction is paying, or if your ask is fully specified.

It tells you exactly what needs fixing before you ever meet a VC.

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Server ID 019ea638-f7f8-7171-99d3-fb268469983a

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Score 100/100

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Here's how it actually works

The bottom line is: your agent forces you to treat your pitch deck like a financial audit, ensuring every claim has hard numbers and sources attached.

Start by feeding your full pitch deck narrative or business plan into the validate_pitch_deck tool.

The agent runs five sequential checks: Problem, Market, Model, Traction, and Ask. Each check requires specific inputs (e.g., a source name for TAM, an LTV/CAC ratio).

You receive an immediate verdict matrix showing which of the five pillars failed validation. The output includes specific coaching messages detailing exactly what evidence or data is missing.

What Changes When You Connect

Stop using vanity metrics. When you run validate_pitch_deck, the tool rejects '15K downloads' and forces you to use revenue-based traction like MRR or NRR.

Avoid building on belief. The Problem Validation pivot requires specific evidence—like 30+ user interviews where they describe the pain unprompted—so your pitch is grounded in reality.

Define true profitability. You can't skip unit economics. validate_pitch_deck forces you to calculate LTV, CAC, and gross margin, preventing fatal flaws like a low LTV/CAC ratio.

Eliminate vague asks. Instead of 'seeking funds to scale,' the Ask Specification requires an exact amount, a percentage breakdown of spending (e.g., 55% engineering), and measurable milestones for that money.

Build credibility instantly. By running this tool, you prove your deck survived multiple levels of scrutiny—from market sourcing to financial modeling—making it investor-grade.

See it in action

01 01

The Founder's Pre-Meeting Audit

A founder has a pitch ready, but they feel shaky. They run the validate_pitch_deck tool and get a 'PROBLEM_UNVALIDATED' verdict. The agent immediately tells them: 'You need 30+ interviews where people raise this pain unprompted.' This forces the founder to go back to the drawing board with concrete user evidence, not assumptions.

02 02

Fixing Flaky Market Sizing

A PM wrote a deck claiming a $10B market. The agent runs validate_pitch_deck and flags it as 'MARKET_FICTIONAL.' It demands that the PM narrow down the TAM using named sources (e.g., Gartner 2024) and calculate a realistic SOM based on current go-to-market strategy, immediately shrinking the scope to something achievable.

03 03

Defining True Growth

A team boasts about 'strong interest' from Fortune 500 companies. The agent running validate_pitch_deck rejects this as anecdotal and requires measurable traction, like paid LOIs or concrete cohort retention rates (Day-30), grounding the growth narrative in commitment, not curiosity.

04 04

Structuring the Ask

The team wants $2M to 'accelerate.' The agent runs validate_pitch_deck and rejects the ambiguity. It forces the user to specify: 60% for engineering hires, 25% for sales tools, and a milestone like '$30K MRR in 12 months,' making the request actionable.

The honest tradeoffs

Using vanity metrics

Anti-pattern

Pitching '100,000 downloads' and 'growing fast.' This tells investors nothing about money or retention.

The Fix

Use validate_pitch_deck to replace those numbers. The tool demands paid conversion rates, cohort retention (D30), and MRR/ARR to prove real user commitment.

General market claims

Anti-pattern

Stating the 'global communication tools market is $45B' without specifying a segment or methodology.

The Fix

Use validate_pitch_deck and focus on Market Sizing. Filter the TAM down to your actual SAM (mid-market SaaS) using named sources, grounding your SOM in reachable targets.

Vague funding requests

Anti-pattern

Asking for '$1.5M pre-seed' with no breakdown of what that money actually pays for.

The Fix

Let validate_pitch_deck guide your ask. You must specify the amount, break it down by department (engineering/sales/marketing), and list measurable milestones unlocked by those funds.

When It Fits, When It Doesn't

Use this if you are ready to withstand a deep dive from an experienced investor or VC analyst. Specifically, use it when you need to prove your unit economics—that LTV/CAC is at least 3x and gross margin is above 60%. Don't use this if all you have are belief statements or general industry numbers; those are signs you're still in the concept phase.

If your primary goal is just to get feedback from a friend, skip this tool. But if your goal is securing serious capital, running validate_pitch_deck acts as an immediate reality check that forces professional rigor into every section of your pitch.

Questions you might have

What does `validate_pitch_deck` check besides just market size? +

validate_pitch_deck checks five areas: problem evidence, source market sizing, defined unit economics (CAC/LTV), revenue traction, and the specificity of your funding ask. It’s a full audit, not just a quick review.

Can I use `validate_pitch_deck` if I don't have MRR yet? +

Yes. While the tool prefers revenue-based traction (MRR/ARR), it accepts and grades other metrics, but only if you provide retention cohorts (Day 1, Day 7, etc.). Downloads alone won't pass.

Does `validate_pitch_deck` help me with my financial model? +

It enforces the core inputs of a financial model. It requires you to define unit economics—specifically LTV/CAC ratios and gross margin percentages—to ensure your business is structurally profitable, not just growing.

What should I provide for 'problem validation' using `validate_pitch_deck`? +

You need evidence that the pain exists at scale. That means user interview counts and key quotes where the interviewee raises the problem unprompted, plus quantified spending on current workarounds.

If I get a failure verdict from `validate_pitch_deck`, how detailed is the feedback? +

The output provides precise coaching messages linked to the specific failed pivot. It doesn't just say 'fail'; it tells you why (e.g., MARKET_FICTIONAL) and what type of evidence is missing, forcing you to fix the source material.

Can `validate_pitch_deck` handle market sizing for non-US geographies? +

Yes, it supports international markets. However, you must provide sourcing data specific to that region (e.g., local industry reports or national census data). Generic global numbers won't pass validation.

What is the required format for passing through `validate_pitch_deck`? +

The input must be structured like a formal business plan draft. You can feed it raw text, but ensure all claims (TAM numbers, retention rates) are accompanied by named sources and methodologies within your prompt.

Are there rate limits or usage restrictions when using `validate_pitch_deck`? +

Usage quotas depend on your Vinkius subscription level. Always check the Marketplace dashboard for real-time metrics. High volume users can contact support to discuss increased capacity.

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.

Connect to your AI in seconds.

Validate pitch deck

Pitch Deck Prover: 1 Tool for Investor Readiness

Make your AI actually useful.

Validate Pitch Deck

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Pitch decks today are full of assumptions and buzzwords.

Pitch Deck Prover: Guarantee investor-ready rigor.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

The Founder's Pre-Meeting Audit

Fixing Flaky Market Sizing

Defining True Growth

Structuring the Ask

The honest tradeoffs

Using vanity metrics

General market claims

Vague funding requests

When It Fits, When It Doesn't

Questions you might have