
Connect Requirement Decomposition Prover to your AI
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. Force your AI to write production-ready specs before it writes code.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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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 Requirement Decomposition Prover.
- 01
Validate requirement decomposition
This capability runs a structured reflection on your requirements to ensure they cover the happy path, error states, edge cases, security, and observability. It rejects any specification that is vague, dismissive of errors, or ignores security protocols.
Real work
What teams actually run
API Design
Validate that a new endpoint handles malformed inputs and database timeouts before writing the controller.
Security Hardening
Ensure an AI agent includes rate limiting and input sanitization in a new user-facing feature.
System Reliability
Map out recovery strategies for external service failures to prevent cascading system outages.
Edge Case Testing
Identify how a system should behave when encountering Unicode characters or empty datasets.
Automate a task
Put Requirement Decomposition 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
Requirement Decomposition 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 Requirement Decomposition 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
928ms average. Fast in production.
Requirement Decomposition Prover is checked daily against the live service.
- Fastest day
- 911ms
- Slowest day
- 1035ms
- 14-day trend
- Slowing+14%
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 Requirement Decomposition Prover, so you can see the experience inside your AI.
It does not authenticate your account with Requirement Decomposition Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Requirement Decomposition Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/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 — Requirement Decomposition Prover capabilities are ready to use.
{
"mcpServers": {
"requirement-decomposition-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/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 Requirement Decomposition Prover in Claude and other AIs
Who it's for
Built for the work Requirement Decomposition Prover owners hand off.
Software engineers and architects who need to ensure AI-generated code is resilient and secure.
- 01
Backend Engineers
They use this to validate API specifications and error handling logic before implementation.
- 02
DevOps and SREs
They use it to ensure new features include the necessary observability and logging for production stability.
- 03
Security Engineers
They use it to force security requirements like input validation and rate limiting into the initial design phase.
FAQ
Questions Requirement Decomposition Prover owners ask.
- 01
What is the 80% Problem?
The 80% Problem is when AI agents generate the visible, functional parts of a feature but omit the critical 20% of code required for error handling, security, and observability.
- 02
How does this MCP prevent security vulnerabilities?
It forces the AI to validate requirements against OWASP Top 10 standards, ensuring things like input validation and rate limiting are defined before code is written.
- 03
Can I use this with Cursor or Claude?
Yes, this MCP is compatible with any MCP-compatible client including Claude, Cursor, and Windsurf.
- 04
Does this capability write the code for me?
No, this capability is for requirement decomposition. It ensures your specifications are complete so that when you do ask your agent to write code, that code is production-ready.
- 05
What happens if my requirements are incomplete?
The capability will issue a verdict identifying exactly what is missing, such as error states or edge cases, and will reject the specification until those gaps are addressed.
- 06
Does this replace writing user stories or PRDs?
No. It supplements them by forcing the AI to decompose beyond the happy path. Most user stories specify what should happen. This capability forces specification of what happens when things go wrong. the failure modes, edge cases, security vectors, and observability requirements that stories typically omit.
- 07
Should I call this before or after Code Integrity Prover?
Before. Requirement Decomposition ensures the SPECIFICATION is complete. Code Integrity ensures the IMPLEMENTATION is clean. The workflow: decompose requirements → generate code → validate code integrity. Fixing incomplete requirements after code exists is expensive. fixing them before code exists is free.
- 08
How does the prover validate security requirements?
It checks the specification against the OWASP Top 10 guidelines (such as SQL injection, XSS, and broken auth). It flags statements that treat inputs as implicitly trusted.
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Connect Requirement Decomposition Prover to Claude, Cursor, ChatGPT & more
