Edison Experimentation Prover Connector for AI agents.
1 live capability
Validate technical decisions with systematic R&D and rigorous testing.
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Why people use Edison Experimentation Prover
Edison Experimentation Prover for Rigorous Product R&D
This Connector forces your AI to stop taking shortcuts. It requires the agent to evaluate three different paths, document the failures, and prove that the chosen route actually works for your specific scale. You get a blueprint for a production-ready system instead of just a piece of code.
What Vinkius changes
That it turns your agent into a rigorous peer-reviewer for every major technical choice.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Choosing a database without testing
A developer wants to use PostgreSQL because it is the standard.
- Real-world use case 02
Rushing a feature launch
A PM wants to launch a new billing module.
- Real-world use case 03
High failure rate in prototypes
A team keeps hitting walls with a new API.
Complete set · 1capability
The complete Edison Experimentation Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Edison Experimentation Prover.
01
1 capability in this set.
Part of 1 available through Edison Experimentation Prover.
- 01 Capability
Validate edison experimentation
Forces the agent to test three distinct approaches and document the root causes of every failure. It ensures every decision has a data-backed justification and a clear path for iteration.
Set up in minutes
One URL. Then ask Edison Experimentation Prover to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Edison Experimentation 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_UMZPgT3WihcCcSB3Nac36KXLZfuGNzCN6Yn2jL8p/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 Edison Experimentation Prover, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Edison Experimentation Prover for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_UMZPgT3WihcCcSB3Nac36KXLZfuGNzCN6Yn2jL8p/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 Edison Experimentation Prover URL.
- Step 03
Save and start
Save the connection and enable Edison Experimentation Prover in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"edison-experimentation-prover": {
"url": "https://edge.vinkius.com/vk_preview_UMZPgT3WihcCcSB3Nac36KXLZfuGNzCN6Yn2jL8p/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 Edison Experimentation Prover
Open Agent mode in chat and ask: "Using Edison Experimentation Prover, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"edison-experimentation-prover": {
"url": "https://edge.vinkius.com/vk_preview_UMZPgT3WihcCcSB3Nac36KXLZfuGNzCN6Yn2jL8p/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 Edison Experimentation Prover
Ask Copilot: "Using Edison Experimentation Prover, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"edison-experimentation-prover": {
"url": "https://edge.vinkius.com/vk_preview_UMZPgT3WihcCcSB3Nac36KXLZfuGNzCN6Yn2jL8p/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 Edison Experimentation Prover
Open Cascade and ask: "Using Edison Experimentation Prover, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"edison-experimentation-prover": {
"url": "https://edge.vinkius.com/vk_preview_UMZPgT3WihcCcSB3Nac36KXLZfuGNzCN6Yn2jL8p/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 Edison Experimentation Prover
Ask Cline: "Using Edison Experimentation Prover, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add edison-experimentation-prover --transport http "https://edge.vinkius.com/vk_preview_UMZPgT3WihcCcSB3Nac36KXLZfuGNzCN6Yn2jL8p/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 Edison Experimentation Prover
Ask Claude: "Using Edison Experimentation Prover, show me...". 1 tools are ready
Where the request belongs
Work Edison Experimentation Prover can move forward.
This is for product managers tired of failed launches, engineering leads who need to justify architecture to stakeholders, and founders who need to move fast without making permanent, expensive mistakes.
Product Manager
Uses the Connector to pressure-test feature requirements and ensure the team is not just picking the easiest path to launch.
R&D Engineer
Uses it to systematically test hardware or software components to find the highest reliability-to-cost ratio.
Technical Founder
Uses it to vet third-party integrations and ensure the startup's infrastructure can scale before signing contracts.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsEinstein Thought Experiment Prover
A team had 14 departments. Three handled 94% of workload. The other 11 existed because 'that is how we always structured it.' Nobody asked 'what is the simplest structure that preserves all functions?' Einstein imagined riding a beam of light and derived special relativity. no lab first. He reduced mass-energy to E=mc². He challenged 200 years of absolute time. This capability forces that discipline: conduct thought experiments before building, simplify to the essential, challenge inherited assumptions, verify invariance across contexts, and unify separate solutions.
Leonardo da Vinci Prover
An AI designed an enrollment process without watching a single participant session. Zero observations. 47 assumptions. It solved the problem inside one domain, never asking what psychology, architecture, or game design could teach about friction. It presented one final concept. No sketches. No variations. No constraints exploited. Da Vinci filled 7,000 notebook pages with cross-domain observations before building anything. This capability forces that method: observe, connect disciplines, prototype, exploit constraints, iterate.
Archimedes First Principles Prover
An AI recommended restructuring 'because the industry leader does it that way.' That is analogy. not axiom. The foundational claim was never stated: at what volume does the current structure fail? The problem was never decomposed. The conclusion was asserted with 'obviously'. never derived. The boundaries were never tested: when does this approach cost more than the value it creates? Archimedes derived pi from polygon geometry. not from Egyptian estimates. This capability forces axiom examination, decomposition, proof derivation, boundary testing, and leverage point identification.
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.
Nikola Tesla Inventor Prover
An AI suggested 'build a pilot and iterate' for a complex system requiring 18 months of structural validation. This capability forces it to simulate the complete system in its mind, prove it mathematically, and find resonance instead of brute-force scaling.
Bezos Flywheel Prover
A startup benchmarked against 5 competitors instead of talking to a single customer. It proposed standalone initiatives instead of a flywheel. It built an end-user product instead of infrastructure. It formed a committee instead of a two-pizza team. It optimized for this quarter instead of a 7-year thesis. That is not strategy. that is a project list. This capability forces five Bezos-level axes: customer obsession, flywheel design, infrastructure-first, Day 1 culture, and long-term compounding.
Bring your own AI
Change the model, client or framework. Keep Edison Experimentation 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 Edison Experimentation Prover.
The practical details behind the request, access and result.
What is the Edison Experimentation Prover MCP?
It is a capability that forces your AI to think like a systematic researcher. It prevents the agent from picking the easiest solution and makes it test multiple options before committing to a design.
How does this help with expensive tech mistakes?
It requires the agent to document dead ends. By understanding why an idea failed before you spend money on it, you avoid repeating those same mistakes in your production environment.
Can I use this to choose a tech stack?
Yes, that is a primary use case. The Connector ensures the AI compares at least three different technologies against your specific constraints like cost, speed, and scalability.
Does it help with product rollout plans?
Absolutely. It won't let the agent consider a feature complete unless it includes a plan for monitoring, user onboarding, and transition steps.
Is this for simple coding tasks?
No, this is for complex reasoning. If you just need a quick function, you do not need it. Use it when you need to justify a major architectural choice or a high-stakes business decision.
How does it ensure my solution is viable?
It forces the agent to define success metrics and operating costs before it starts building. This gives you real-world evidence that the solution will work under pressure.
Doesn't requiring experiments slow down decision-making?
A 2-day pilot testing 3 alternatives is faster than an 8-month correction after choosing wrong. Edison's Menlo Park produced a major invention every 10 days. systematic experimentation is FASTER than guessing, because you avoid expensive dead ends. The team that picked the traditional system without testing spent 6 weeks migrating. A 3-day comparison pilot would have cost 1/30th of the migration.
What counts as sufficient iteration?
Test variations until you hit diminishing returns. At minimum 3 variations beyond the first working version. Measure the delta between each: V1 → V2 improved throughput 40%. V2 → V3 improved 12%. V3 → V4 improved 2%. Diminishing returns at V3. ship V3. Edison tested 10,000 battery experiments but he was measuring progress. If V2 shows < 3% improvement over V1 for a non-critical metric, iteration on THAT axis is done. Move to the next constraint.
How does it differ from the Watt Efficiency Prover?
Watt validates OPTIMIZATION of existing systems. measuring waste, isolating bottlenecks, quantifying improvement. Edison validates DECISION-MAKING for new choices. testing alternatives, iterating designs, building ecosystems, proving viability. Watt asks 'where is 80% of your resources being wasted?' Edison asks 'how many alternatives did you test before choosing this one?' Use Watt when tuning a running operation. Use Edison when making a strategic choice or building a new capability.
One connection away
Give your agent a direct line to Edison Experimentation Prover.
Connect Edison Experimentation Prover once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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