Munger Latticework Prover Connector for AI agents.
1 live capability
Stress-test business strategies with Charlie Munger's mental models.
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Why people use Munger Latticework Prover
Munger Latticework Prover for Strategic Risk Assessment
This Connector changes that by forcing the AI to be a critic. Instead of just saying yes, it looks for the no. It demands to see the failure modes, the incentives, and the consequences of consequences. You get a stress test that reveals the structural weaknesses in your plan before you actually execute it.
What Vinkius changes
You get a rigorous stress test that exposes hidden risks before you spend money or time.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Market Entry Analysis
A founder wants to see if entering a new country will actually work.
- Real-world use case 02
Investment Thesis Validation
A VC wants to find the 'bear case' for a tech startup.
- Real-world use case 03
Scaling and Hiring Plans
A CEO wants to know if scaling from 10 to 100 employees will break the company culture.
Complete set · 1capability
The complete Munger Latticework Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Munger Latticework Prover.
01
1 capability in this set.
Part of 1 available through Munger Latticework Prover.
- 01 Capability
Validate munger latticework
This capability runs a full stress test on a strategy using five mental models. It identifies logic gaps and provides a 'Latticework Proven' verdict.
Set up in minutes
One URL. Then ask Munger Latticework Prover to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Munger Latticework Prover from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_bm5eaupy69UlUkNfa4VBoomvZ5LR8GRbI3QTdssk/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Munger Latticework Prover, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Munger Latticework Prover for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_bm5eaupy69UlUkNfa4VBoomvZ5LR8GRbI3QTdssk/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Munger Latticework Prover URL.
- Step 03
Save and start
Save the connection and enable Munger Latticework Prover in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"munger-latticework-prover": {
"url": "https://edge.vinkius.com/vk_preview_bm5eaupy69UlUkNfa4VBoomvZ5LR8GRbI3QTdssk/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Munger Latticework Prover
Open Agent mode in chat and ask: "Using Munger Latticework Prover, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"munger-latticework-prover": {
"url": "https://edge.vinkius.com/vk_preview_bm5eaupy69UlUkNfa4VBoomvZ5LR8GRbI3QTdssk/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Munger Latticework Prover
Ask Copilot: "Using Munger Latticework Prover, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"munger-latticework-prover": {
"url": "https://edge.vinkius.com/vk_preview_bm5eaupy69UlUkNfa4VBoomvZ5LR8GRbI3QTdssk/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Munger Latticework Prover
Open Cascade and ask: "Using Munger Latticework Prover, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"munger-latticework-prover": {
"url": "https://edge.vinkius.com/vk_preview_bm5eaupy69UlUkNfa4VBoomvZ5LR8GRbI3QTdssk/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Munger Latticework Prover
Ask Cline: "Using Munger Latticework Prover, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add munger-latticework-prover --transport http "https://edge.vinkius.com/vk_preview_bm5eaupy69UlUkNfa4VBoomvZ5LR8GRbI3QTdssk/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Munger Latticework Prover
Ask Claude: "Using Munger Latticework Prover, show me...". 1 tools are ready
Where the request belongs
Work Munger Latticework Prover can move forward.
This is for founders, VC analysts, and corporate strategists who are tired of 'optimistic' AI advice and need to find the flaws in high-stakes plans.
Startup Founder
Uses this to stress-test hiring plans and burn rate assumptions before scaling.
VC Analyst
Runs investment theses through the models to find the 'bear case' in a pitch deck.
Corporate Strategist
Maps out incentive conflicts and second-order effects for major internal pivots.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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CFO Strategy Prover
A board received an AI-generated forecast: hockey stick J-curve with 90% margins and zero CAC expansion. It says 'we can always raise' as a runway strategy. It scales headcount before product-market fit. That is not financial strategy. that is a bonfire. This capability forces five CFO-level financial axes: unit economics, runway discipline, capital allocation, scenario forecasting, and risk mitigation.
Deep Analyst Prover
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Inversion Thinking Prover
AI agents are sycophantic. They agree with your bad ideas. This engine forces a 6-pivot cognitive trap: agents must destroy their own hypotheses, define measurable kill criteria, and simulate post-mortem failures before executing code.
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First Principles Prover
LLMs reason by analogy, copying industry norms. This engine is a 6-pivot cognitive trap that forces the agent to discard jargon and derive original solutions exclusively from physical, mathematical, or logical axioms.
Bring your own AI
Change the model, client or framework. Keep Munger Latticework Prover connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
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Vercel AI SDK
Before you connect
Questions about Munger Latticework Prover.
The practical details behind the request, access and result.
What is the Munger Latticework Prover?
It is a strategic reasoning capability that forces your AI client to apply Charlie Munger's mental models to your business plans. It helps you identify hidden risks and logical flaws before you commit resources.
How does the Munger Latticework Prover help with business plans?
It acts as a stress test for your plans. It identifies failure modes, maps out the consequences of consequences, and exposes hidden incentive conflicts that a standard AI prompt would miss.
Can I use the Munger Latticework Prover for investment analysis?
Yes. It is ideal for validating investment theses by forcing the AI to find the 'bear case' and checking if your strategy survives a 50% error rate.
What are the 5 mental models in the Munger Latticework Prover?
The capability uses Inversion, Second-Order Effects, Incentive Architecture, Circle of Competence, and Margin of Safety to provide a comprehensive check of your logic.
How does the Munger Latticework Prover find hidden risks?
It forces the AI to look for how a plan will fail, what happens after the first effect, and how different people's rewards might conflict with your goals.
Is the Munger Latticework Prover for all types of decisions?
It is best for high-stakes strategic decisions like market entries, hiring plans, or major investments. It is less suited for low-stakes tasks like drafting emails.
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.
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.
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.
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