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Customer Discovery Prover MCP, Ready to Go

Use Customer Discovery Prover with Claude or Cursor to validate your product-market fit with evidence-based customer discovery and the Mom Test.

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Validate your product-market fit with evidence-based customer discovery.

Customer Discovery Prover MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Customer Discovery Prover Connector?

918ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 723ms
Average 918ms
Max 1235ms
Trend (improving) ↓ 7%
Daily latency
1235ms 7/12/2026
1033ms 7/13/2026
969ms 7/14/2026
723ms 7/15/2026
1090ms 7/16/2026
931ms 7/17/2026
935ms 7/18/2026
857ms 7/19/2026
928ms 7/20/2026
925ms 7/21/2026
818ms 7/22/2026
1214ms 7/23/2026
799ms 7/24/2026
918ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with Customer Discovery Prover: 1 Tool for Startup Validation

Use the validate_customer_discovery tool to audit your market research for bias, persona grounding, and commitment signals.

Validate customer discovery

Runs a structured reflection on your discovery data to check for persona grounding, evidence, bias, segment separation, and WTP. It forces the agent to cite specific interviews and commitments.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Customer Discovery Prover: Stop Guessing Your Product-Market Fit

This is for the founder who is tired of guessing what the market wants and the product manager who needs to defend a roadmap with hard evidence rather than feelings.

Startup Founder

Validates ICP and WTP before spending a dime on engineering.

Product Manager

Ensures new features solve documented pains for specific, non-conflated segments.

VC Analyst

Audits a startup's customer discovery to see if they actually have a proven market.

Frequently Asked Questions

How does Customer Discovery Prover stop me from making bad assumptions? +

It forces your AI client to cite specific evidence from your interviews. If the agent can't provide a quote or a specific role, the tool flags the discovery as 'Assumed' or 'Invented.'

What is 'The Mom Test' and how does this Connector use it? +

The Mom Test is a methodology for getting honest feedback by asking about past behavior instead of future promises. This Connector ensures your AI doesn't ask leading questions like 'Would you pay for this?'

Can I use Customer Discovery Prover to validate my ICP? +

Yes. It specifically checks if your Ideal Customer Profile is grounded in real data or if it's just a list of demographics like age and interests.

Will this tool help me get more funding? +

It helps you prepare for funding by ensuring your discovery survives investor scrutiny. It moves you from 'we think people want this' to 'we have evidence that this specific segment will pay.'

Does this Connector work for both B2B and B2C startups? +

It works for any business model. It's particularly effective for B2B because it helps separate complex buyer segments that often get conflated as 'enterprise' or 'SMB.'

What happens if my discovery is rejected by the tool? +

The tool provides a verdict matrix. It tells you exactly which pivot failed, whether it was biased validation, conflated segments, or lack of commitment signals, so you know exactly what to fix.

Does it conduct interviews? +

No. It validates that your discovery process is grounded in real data — interview evidence, unbiased methodology, separated segments, and commitment-based WTP signals. It does not replace conversations with customers. It forces you to prove you had them.

What is The Mom Test? +

A framework by Rob Fitzpatrick for conducting customer interviews that produce truthful data. The core rule: never ask leading questions about the future ('Would you use this?'). Instead, ask about past behavior ('When did you last encounter X? What did you do?'). People lie about future behavior — past behavior is a reliable signal.

Can pre-product startups use this? +

Yes — it is designed for pre-product discovery. WTP signals for pre-product include: signed LOIs, paid design partnerships, deposits against future delivery, time commitments (agreed to a weekly feedback session), and reputation commitments (willing to be named as a design partner). You do not need a product to test willingness-to-pay.

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