Isaac Newton Prover Connector for AI agents.
1 live capability
Move beyond generic best practices to formal first-principles proofs for architecture decisions.
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Why people use Isaac Newton Prover
Isaac Newton Prover: Solving the Best Practice Trap in Engineering
The Isaac Newton Prover MCP changes the conversation from description to derivation. Instead of letting your agent give you a list of common practices, this capability forces it to find the first principles of your specific problem. It demands a formal rule, a causal force, and a unified abstraction. You stop building systems based on what others did and start building them based on why they actually work.
What Vinkius changes
You get a mathematically sound proof or a specific coaching plan to fix your logic.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Designing a multi-region billing engine
An architect asks the agent to design a billing system.
- Real-world use case 02
Solving a production throughput bottleneck
An engineer describes a slow database.
- Real-world use case 03
Justifying a move to microservices
A lead wants to move to microservices.
Complete set · 1capability
The complete Isaac Newton Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Isaac Newton Prover.
01
1 capability in this set.
Part of 1 available through Isaac Newton Prover.
- 01 Capability
Validate isaac newton
The validate_isaac_newton capability forces your agent to express a system as a formal rule including variables and bounds. It ensures your reasoning is derived from first principles rather than just copied from examples.
Set up in minutes
One URL. Then ask Isaac Newton Prover to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Isaac Newton 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_vTChG7gwDRonkMUYzv5YVRG07gLFRjm6ieiSUcNA/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 Isaac Newton Prover, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Isaac Newton Prover for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vTChG7gwDRonkMUYzv5YVRG07gLFRjm6ieiSUcNA/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 Isaac Newton Prover URL.
- Step 03
Save and start
Save the connection and enable Isaac Newton Prover in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"isaac-newton-prover": {
"url": "https://edge.vinkius.com/vk_preview_vTChG7gwDRonkMUYzv5YVRG07gLFRjm6ieiSUcNA/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 Isaac Newton Prover
Open Agent mode in chat and ask: "Using Isaac Newton Prover, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"isaac-newton-prover": {
"url": "https://edge.vinkius.com/vk_preview_vTChG7gwDRonkMUYzv5YVRG07gLFRjm6ieiSUcNA/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 Isaac Newton Prover
Ask Copilot: "Using Isaac Newton Prover, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"isaac-newton-prover": {
"url": "https://edge.vinkius.com/vk_preview_vTChG7gwDRonkMUYzv5YVRG07gLFRjm6ieiSUcNA/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 Isaac Newton Prover
Open Cascade and ask: "Using Isaac Newton Prover, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"isaac-newton-prover": {
"url": "https://edge.vinkius.com/vk_preview_vTChG7gwDRonkMUYzv5YVRG07gLFRjm6ieiSUcNA/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 Isaac Newton Prover
Ask Cline: "Using Isaac Newton Prover, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add isaac-newton-prover --transport http "https://edge.vinkius.com/vk_preview_vTChG7gwDRonkMUYzv5YVRG07gLFRjm6ieiSUcNA/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 Isaac Newton Prover
Ask Claude: "Using Isaac Newton Prover, show me...". 1 tools are ready
Where the request belongs
Work Isaac Newton Prover can move forward.
This is for the systems architect who is tired of 'best practices' and the engineering lead who needs to justify high-stakes technical decisions with actual proof.
Systems Architect
Uses this on Tuesday afternoons to ensure a new microservices strategy is based on universal principles rather than just copying a competitor.
Engineering Lead
Uses this to audit complex production throughput issues and identify the actual causal forces behind performance bottlenecks.
Product Strategist
Uses this to ensure that new business logic is unified and doesn't result in a mess of fragmented switch statements.
When one Connector is not enough
Carry the request into a workflow.
Combine Isaac Newton Prover with the systems that finish the task.
View all recipesBuild the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
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.
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.
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.
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.
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.
Deep Analyst Prover
AI gives surface analysis. restates the question, misses hidden assumptions, uses single-lens thinking. This capability forces multi-model depth: First Principles decomposition, Second-Order cascades (3 levels), Steelmanning (Ideological Turing Test), Inversion, and Premortem risk mapping.
Bring your own AI
Change the model, client or framework. Keep Isaac Newton 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 Isaac Newton Prover.
The practical details behind the request, access and result.
Does Isaac Newton Prover help with system architecture?
Yes, it is designed specifically for high-level architecture. It forces your AI client to move beyond generic 'best practices' and provide formal, first-principles proofs for your system design.
How does Isaac Newton Prover stop AI hallucinations?
It prevents hallucinations by forcing the agent to commit to specific 'Decision Pivots.' If the agent's reasoning doesn't meet the criteria for formal rules or causal forces, the capability rejects it.
Can I use Isaac Newton Prover for business strategy?
Absolutely. It can be used to ensure that business logic is unified and derived from core company axioms rather than being a patchwork of different rules for different regions or products.
What is a First Principles proof in this context?
It is a derivation of a solution from basic truths and axioms. Instead of saying 'we do this because it's common,' the capability forces the agent to explain the fundamental forces that make the solution work.
How does Isaac Newton Prover handle complex engineering trade-offs?
It forces the agent to identify the driving and resisting forces in a trade-off. This gives you a clear mathematical or logical framework for why one choice was made over another.
Is Isaac Newton Prover good for high-stakes decision making?
Yes, it is ideal for high-stakes decisions where you need a rigorous justification. It ensures that your agent isn't just guessing but is following a validated, unified logical framework.
Does it generate code or architectures?
No. It computes nothing and generates nothing. The LLM makes the technical decision. this capability validates that the reasoning is formally rigorous. If the LLM says 'it scales well' without formalizing WHY, the capability rejects and explains what formalization is missing.
Why does it reject 'best practices' and industry patterns?
Because 'the industry leader does it this way' is not a derivation. it is copying. Newton did not cite Aristotle. He derived the laws from his own axioms. The capability forces the LLM to identify its foundational axioms and derive the solution from them, not assemble it from borrowed patterns.
What is 'Framework Unification'?
Newton had ONE law of gravitation that explains both the apple falling from a tree and the Moon orbiting Earth. This capability demands the same: one abstraction that handles ALL cases in your domain. If your solution uses switch statements or per-case handlers, it is fragmented. and this capability will reject it.
One connection away
Give your agent a direct line to Isaac Newton Prover.
Connect Isaac Newton Prover once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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