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Connect Pricing Strategy Prover to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Force your AI to build profitable, research-backed pricing models.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Pricing Strategy Prover.

  1. 01

    Validate pricing strategy

    This capability forces your agent to run a structured validation of a pricing model across five pillars: value metrics, WTP research, segmentation, unit economics, and packaging. It rejects any suggestion that lacks research-backed data or fails to meet profitability thresholds like a 3x LTV/CAC ratio.

Real work

What teams actually run

01

New Product Launch

Validate a brand new pricing model against research-backed willingness-to-pay data.

02

Tier Restructuring

Check if moving a feature to a higher tier creates a natural upgrade trigger.

03

Market Expansion

Verify that enterprise pricing is segmented correctly from small business pricing.

04

Board Reporting

Use the validated verdict to prove that your pricing strategy is mathematically sound.

Automate a task

Put Pricing Strategy Prover to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Pricing Strategy Prover works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Pricing Strategy Prover to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

879ms average. Fast in production.

Pricing Strategy Prover is checked daily against the live service.

Daily averagePeak 1265ms
Oct 3Today
Fastest day
670ms
Slowest day
1265ms
14-day trend
Improving-18%

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 Pricing Strategy Prover, so you can see the experience inside your AI.

It does not authenticate your account with Pricing Strategy Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Pricing Strategy Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_DgfPcF2G2Sfx064SvUB7cKVlObkfyfkyB67jN8qN/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Pricing Strategy Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pricing-strategy-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_DgfPcF2G2Sfx064SvUB7cKVlObkfyfkyB67jN8qN/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

Guided setup for Claude? Set up Pricing Strategy Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Pricing Strategy Prover owners hand off.

This MCP is for leaders who need to move from intuitive pricing to data-driven monetization models.

  • 01

    SaaS Founders

    Hand off early pricing drafts to ensure they don't accidentally subsidize customers.

  • 02

    Product Managers

    Use it to validate how new features should be packaged into existing tiers.

  • 03

    Revenue Operations

    Verify that new pricing structures will maintain healthy LTV/CAC ratios.

FAQ

Questions Pricing Strategy Prover owners ask.

  • 01

    How does this MCP differ from asking an AI for pricing advice?

    Standard AI agents often suggest prices based on competitor averages. This MCP forces the agent to use specific methodologies like Van Westendorp and requires proof of unit economics and value metric scaling.

  • 02

    What is a 'value metric'?

    A value metric is the unit you charge for that grows as the customer gets more value, such as API calls or data processed, rather than just a per-seat count.

  • 03

    What happens if my pricing model is rejected?

    The MCP will return a specific error code, such as UNIT_ECONOMICS_BROKEN, and provide actionable steps to fix the flaw, like increasing retention or adjusting the LTV/CAC ratio.

  • 04

    Does this MCP work with any AI client?

    Yes, it works with any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 05

    Why is gross margin important for LTV?

    Raw LTV is often fiction. This MCP requires LTV to be adjusted for gross margin to ensure the business is actually profitable at the unit level.

  • 06

    Does it calculate prices?

    No. It validates that your pricing strategy is grounded in value metrics, WTP research, segmentation, unit economics, and packaging design. It does not generate prices. it forces you to prove you derived them from data, not competitor pages.

  • 07

    What is Van Westendorp PSM?

    The Price Sensitivity Meter asks 4 questions: at what price is it too cheap (quality doubt), a bargain (great value), getting expensive (think twice), too expensive (never buy). The intersections define the acceptable price range. It requires 100-300 respondents from your target segment to produce reliable data.

  • 08

    Can early-stage startups use this before having revenue data?

    Yes. Pre-revenue startups use proxy data: Van Westendorp on 30+ prospect interviews, competitor pricing as anchor (not source), current workaround spend as floor, and projected CAC from channel tests. Unit economics use conservative assumptions. The capability forces you to document assumptions instead of skipping the analysis.

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