Archimedes First Principles Prover Connector for AI agents.
1 live capability
Force your agent to derive rigorous architectural proofs and identify high-leverage growth points.
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Why people use Archimedes First Principles Prover
Archimedes First Principles Prover: Fixing Lazy AI Reasoning in Architecture
This Connector changes the conversation. It forces the agent to stop looking at what others did and start looking at what is actually true. It demands a breakdown of your specific constraints, a logical proof for every step, and a clear identification of where the logic breaks. You get a strategy that's built on solid ground, not just a polished summary of someone else's success.
What Vinkius changes
That your agent stops guessing and starts proving.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
The 'Industry Leader' Trap
An agent suggests a decentralized structure because others use it.
- Real-world use case 02
The Checkout Bottleneck
Instead of 'optimizing the flow,' the agent decomposes the funnel into address, shipping, and payment to find the real drop-off point.
- Real-world use case 03
The 'Restructure Everything' Fallacy
When a process is slow, the agent is forced to prove that a full restructure is the only solution instead of a simple template change.
Complete set · 1capability
The complete Archimedes First Principles Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Archimedes First Principles Prover.
01
1 capability in this set.
Part of 1 available through Archimedes First Principles Prover.
- 01 Capability
Validate archimedes first principles
Forces your agent to audit its logic by checking axioms, components, proofs, boundaries, and leverage points. It rejects lazy reasoning and ensures every conclusion follows a strict logical chain.
Set up in minutes
One URL. Then ask Archimedes First Principles Prover to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Archimedes First Principles 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_2aOcxzAi99p47ps29WeUcelnKLtoigQu9RxaugQl/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 Archimedes First Principles Prover, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Archimedes First Principles Prover for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_2aOcxzAi99p47ps29WeUcelnKLtoigQu9RxaugQl/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 Archimedes First Principles Prover URL.
- Step 03
Save and start
Save the connection and enable Archimedes First Principles Prover in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"archimedes-first-principles-prover": {
"url": "https://edge.vinkius.com/vk_preview_2aOcxzAi99p47ps29WeUcelnKLtoigQu9RxaugQl/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 Archimedes First Principles Prover
Open Agent mode in chat and ask: "Using Archimedes First Principles Prover, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"archimedes-first-principles-prover": {
"url": "https://edge.vinkius.com/vk_preview_2aOcxzAi99p47ps29WeUcelnKLtoigQu9RxaugQl/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 Archimedes First Principles Prover
Ask Copilot: "Using Archimedes First Principles Prover, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"archimedes-first-principles-prover": {
"url": "https://edge.vinkius.com/vk_preview_2aOcxzAi99p47ps29WeUcelnKLtoigQu9RxaugQl/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 Archimedes First Principles Prover
Open Cascade and ask: "Using Archimedes First Principles Prover, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"archimedes-first-principles-prover": {
"url": "https://edge.vinkius.com/vk_preview_2aOcxzAi99p47ps29WeUcelnKLtoigQu9RxaugQl/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 Archimedes First Principles Prover
Ask Cline: "Using Archimedes First Principles Prover, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add archimedes-first-principles-prover --transport http "https://edge.vinkius.com/vk_preview_2aOcxzAi99p47ps29WeUcelnKLtoigQu9RxaugQl/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 Archimedes First Principles Prover
Ask Claude: "Using Archimedes First Principles Prover, show me...". 1 tools are ready
Where the request belongs
Work Archimedes First Principles Prover can move forward.
The CTO who's tired of 'best practices' that don't work at scale. The systems architect who needs to justify a massive overhaul. The product lead who needs to find the one feature that actually matters.
Systems Architect
Auditing infrastructure designs to ensure they handle specific load constraints instead of just copying industry trends.
Product Strategist
Breaking down market entries to find the real competitive leverage instead of just listing features.
Engineering Manager
Identifying the specific bottleneck in a slow deployment pipeline to avoid unnecessary massive restructures.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsFirst 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.
Isaac Newton Prover
A decision report said 'it works well.' That is prose, not proof. This capability forces it to formalize into precise rules, derive from first principles, and unify all cases under one framework. no case-by-case exceptions, no special handling.
Copernicus Perspective Prover
Your AI analyzed the problem from the default perspective and added workarounds when it did not fit. That is an epicycle. not a solution. Copernicus did not add more epicycles to Ptolemy's model. He moved the center from Earth to Sun. 40+ epicycles vanished. This capability forces default questioning, epicycle counting, alternative framing, observer shifting, and simplicity comparison.
Critical Thinking Prover
AI agents accept premises without questioning, analyze from one perspective, cherry-pick evidence, ignore consequences, and present uncertainty as certainty. This capability forces rigor: surface assumptions, apply competing frameworks, weigh counterevidence, trace ripple effects, bound confidence.
Galileo Experimental Prover
Your AI accepted a claim because 'the documentation recommends it.' That is authority deference. not evidence. Galileo did not accept Aristotle's 2,000-year claim that heavier objects fall faster. He dropped two masses from the Tower of Pisa. This capability forces authority questioning, experimental design, variable control, outcome prediction, and belief revision.
Systems Thinking Prover
AI thinks in straight lines. This engine is a 6-pivot cognitive trap that forces the LLM to map feedback loops, second-order effects, and bottlenecks before proposing any architectural change.
Bring your own AI
Change the model, client or framework. Keep Archimedes First Principles Prover connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Archimedes First Principles Prover.
The practical details behind the request, access and result.
What is the Archimedes First Principles Prover MCP?
It is a logic audit capability that forces your AI client to stop using lazy analogies and start thinking from first principles. It ensures your agent provides rigorous proofs for every strategic or architectural decision.
How does this help with software architecture?
It forces the agent to break down your system into components and identify the exact failure points. This prevents you from over-engineering a solution that doesn't address the actual bottleneck.
Can I use this for business strategy?
Yes. It is excellent for business strategy because it prevents the agent from just copying a competitor's playbook. It forces the agent to find the unique leverage points in your specific market.
How is this different from a normal AI prompt?
A normal prompt allows the agent to give you the easiest answer it knows. This Connector creates a hard constraint that rejects easy answers unless they are backed by a full logical proof and boundary test.
What happens if my agent gives a lazy answer?
The capability will flag the reasoning as AXIOM_UNEXAMINED or PROOF_MISSING. It will then tell the agent exactly why the logic failed and what specific information it needs to provide to pass the audit.
Does this work for complex engineering problems?
Yes, it is specifically designed for complexity. It forces the agent to decompose problems into smaller, manageable parts so you can solve the root cause rather than just treating the problem as a monolith.
Will this help me find the best way to scale?
It helps by identifying the 'fulcrum.' Instead of suggesting you scale everything, it forces the agent to find the one variable where a small change creates a massive increase in output.
How is this different from the Elon Musk Physics Prover?
Elon Musk Physics Prover forces the 5-Step Starbase Algorithm: question, delete, simplify, accelerate, automate. It is about operational engineering. cutting bloat. Archimedes First Principles Prover forces axiom-based reasoning: state axioms, decompose, prove, test boundaries, find leverage. It is about analytical rigor. proving your logic before building. Musk asks 'should this exist?' Archimedes asks 'is this actually true?'
What counts as a valid axiom?
An axiom is a foundational claim your reasoning depends on, with an explicit source: measurement ('our average processing time is 340 minutes. measured last Tuesday'), physics ('material strength decreases by 15% per 10°C above threshold'), economics ('our acquisition cost exceeds lifetime value at current pricing'), or stated assumption ('we assume retention stays at 14 months'). 'Organization X does Y' is analogy. 'Obviously' is assertion. Neither is an axiom.
Can I use this for business strategy, not just engineering?
Yes. First-principles reasoning applies wherever analogical reasoning misleads. 'We should use freemium because the market leader does' is an analogy. The axiom is: at what conversion rate does freemium generate more lifetime value than paid-only? Decomposition: acquisition, activation, retention, monetization. which component is the actual bottleneck? Proof: if conversion is 3% and free-tier cost is $X/user, then... Boundary: at what scale does free-tier cost exceed premium revenue? Leverage: which single metric, if improved 10%, changes the business?
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