
Connect Munger Latticework 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. Stop accepting first-draft strategies that ignore real-world risks.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
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.

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.
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.
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.
01
1 capability in this set.
Part of 1 available through Munger Latticework Prover.
- 01
Validate munger latticework
This capability subjects a strategic decision or business plan to five specific mental models to identify hidden risks and reasoning gaps.
Real work
What teams actually run
Investment Due Diligence
Run an investment thesis through the capability to see if the projected returns survive a bear case scenario.
Market Entry Analysis
Test a new market expansion plan to see if the team's competence actually covers the necessary regulatory or technical requirements.
Pricing Strategy Audits
Analyze a price cut to see how competitor retaliation and margin erosion might play out in the third order.
Organizational Design
Evaluate how new compensation structures might create unintended behaviors among stakeholders.
Automate a task
Put Munger Latticework 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
Munger Latticework 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Munger Latticework 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
910ms average. Fast in production.
Munger Latticework Prover is checked daily against the live service.
- Fastest day
- 724ms
- Slowest day
- 1109ms
- 14-day trend
- Slowing+10%
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 Munger Latticework Prover, so you can see the experience inside your AI.
It does not authenticate your account with Munger Latticework Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Munger Latticework Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_bm5eaupy69UlUkNfa4VBoomvZ5LR8GRbI3QTdssk/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 — Munger Latticework Prover capabilities are ready to use.
{
"mcpServers": {
"munger-latticework-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_bm5eaupy69UlUkNfa4VBoomvZ5LR8GRbI3QTdssk/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 Munger Latticework Prover in Claude and other AIs
Who it's for
Built for the work Munger Latticework Prover owners hand off.
This MCP is built for professionals who make high-stakes decisions where the cost of being wrong is high.
- 01
Investment Analysts
Hand off investment theses to the AI to find hidden fragility or incentive misalignments.
- 02
Strategic Planners
Use the capability to audit growth plans and ensure second-order consequences are accounted for.
- 03
Founders
Stress-test business models against catastrophic failure modes before committing capital.
FAQ
Questions Munger Latticework Prover owners ask.
- 01
What mental models does this MCP use?
It uses five models: Inversion, Second-Order Effects, Incentive Architecture, Circle of Competence, and Margin of Safety.
- 02
How is this different from a standard AI analysis?
Standard AI often focuses on how to succeed. This MCP specifically looks for how you might fail and identifies gaps in reasoning like incentive blindness or competence overreach.
- 03
Which AI clients can I use with this MCP?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 04
What happens if my AI's reasoning is incomplete?
The capability's engine cross-checks the provided pivots against the verdict and will reject calls that are self-contradictory or incomplete.
- 05
Do I need to host this myself?
No. Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.
- 06
Why 'invert, always invert'?
Jacobi solved complex mathematics by working backward. Munger applied this to decisions: instead of asking how to build a great company, ask how to destroy one. and avoid those things. Pre-mortem, not post-mortem. If you cannot name 5 catastrophic failure modes, you have not thought about the decision enough.
- 07
Why map incentive conflicts?
Munger: 'Show me the incentives and I will show you the outcome.' Sales teams paid on revenue will discount to close. Engineers rewarded for shipping will cut corners. If incentives conflict with desired behavior, behavior wins. Every time. Map every stakeholder's reward structure. Find the conflicts. Fix the incentives, not the symptoms.
- 08
What is 'margin of safety'?
Graham (1949): buy at a price so far below intrinsic value that you are protected even when your analysis is wrong. Applied to decisions: what if your best estimate is off by 30%? 50%? Does the strategy survive being COMPLETELY wrong? Show base case, bear case, worst case, and break-even. If worst case kills you, you have no margin.
Explore
More in Strategy
Nash Game Theory Prover AI Connector
Every strategy proposed by an AI treats the world as a single-player game. No opponents. No counter-moves. No
ViewVTEX Orders AI Connector
Search, track, invoice, and cancel orders on your VTEX store — manage your entire order lifecycle from any AI
ViewDeep Analyst Prover AI Connector
AI gives surface analysis — restates the question, misses hidden assumptions, uses single-lens thinking. This
ViewModelbit (ML Model Deployments) AI Connector
Deploy and call machine learning models directly from your AI agent using Modelbit's inference endpoints.
View
Suggestions
Order Desk AI Connector
Route and manage orders from multiple sales channels to fulfillment providers with automation rules that handl
ViewOrder Desk AI Connector
Route and manage orders from multiple sales channels to fulfillment providers with automation rules that handl
ViewInversion Thinking Prover AI Connector
AI agents are sycophantic. They agree with your bad ideas. This engine forces a 6-pivot cognitive trap: agents
ViewOrder Time AI Connector
Inventory and order management — manage items, customers, and sales orders via Order Time.
View
Connect Munger Latticework Prover to Claude, Cursor, ChatGPT & more
