Use Customer Discovery Prover with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. An AI defined the ICP as 'busy professionals aged 25-45 who value productivity.' It described the problem as 'everyone struggles with time management.' Intervie
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete Customer Discovery Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Customer Discovery Prover.
01
1 capability in this set.
Part of 1 available through Customer Discovery Prover.
- 01
Validate customer discovery
Think like a YC partner reviewing a pitch. "How do you know?" is the only question that matters. You must: (1) ground the PERSONA in real interview data. named people, specific roles, observed behaviors. "Busy professionals" is a demographic, not a persona. "Sarah, VP Eng at a 200-person fintech, spends 8h/week manually reconciling data" is a persona, (2) evidence the PROBLEM with specific conversations. who said what, how often it happens, what it costs them, what they do today to work around it. "The market needs X" is not evidence, (3) apply THE MOM TEST. ask about past behavior ("when did you last encounter this?"), never about future intentions ("would you pay for this?"). Seek falsification ("what would make this NOT useful?"). Extract commitment ("can you introduce me to your team lead?"), (4) separate SEGMENTS. different buyer groups have different pains, budgets, and buying processes. "Enterprise" is not a segment. "Head of Data at Series B fintechs with 50-200 employees using Snowflake" is a segment, (5) test WTP with COMMITMENT signals. deposits, LOIs, pilot dates with specific dates, referrals. "They said they would pay" is verbal interest, not willingness-to-pay. Money or time committed is WTP. If rejected, your discovery is assumption-based, not evidence-based. Structured reflection capability for customer discovery grounded in real interviews, not invented personas. Forces the agent to evidence every claim with named interviews, apply The Mom Test methodology, separate buyer segments with distinct pains, and test willingness-to-pay with commitment signals. Catches Invented Personas ("busy professionals aged 25-45". demographics are not personas. A persona needs a name, a role, a company context, observed behaviors, and interview quotes), Assumed Problems ("the market needs X" without citing specific conversations where someone described the pain, its frequency, and what they currently spend solving it), Biased Validation ("would you pay for this?". leading questions produce false positives. The Mom Test: ask about past behavior, never about future intentions), Conflated Segments (treating "SMBs" as one group when a 5-person agency and a 200-person SaaS company have different pains, budgets, and buying processes), and Untested WTP ("they said they would pay". verbal interest is not willingness-to-pay. Commitment signals: deposits, LOIs, pilot dates, referrals). Call once per customer persona, segment analysis, or product-market fit evaluation
Observed, not estimated
784ms average. Fast in production.
Customer Discovery Prover is checked daily against the live service.
- Fastest day
- 665ms
- Slowest day
- 1392ms
- 14-day trend
- Slowing+28%
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 Customer Discovery Prover, so you can see the experience inside your AI.
It does not authenticate your account with Customer Discovery Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Customer Discovery Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_FcoU6IdAx3q5sWDJpDPGsPfVRCZ7YEkM4nbyPExm/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 — Customer Discovery Prover capabilities are ready to use.
{
"mcpServers": {
"customer-discovery-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_FcoU6IdAx3q5sWDJpDPGsPfVRCZ7YEkM4nbyPExm/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 Customer Discovery Prover owners ask.
- 01
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.
- 02
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.
- 03
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.