Requirement Decomposition Prover Connector for AI agents.
1 live capability
Build production-ready software specifications with full error handling and security validation.
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Why people use Requirement Decomposition Prover
Stop the 80% Problem with Requirement Decomposition Prover Software Specs
The Requirement Decomposition Prover changes this by acting as a gatekeeper. Instead of letting your AI agent start coding immediately, it forces the agent to prove it understands the requirements first. It demands a full map of failure modes, edge cases, security protocols, and observability plans. You move from 'write a login' to 'write a production-ready authentication system' in one step.
What Vinkius changes
You get a production-ready blueprint before any code is actually written.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Missing error handling on a payment gateway
An engineer asks for a checkout flow.
- Real-world use case 02
Security holes in a new sign-up form
A dev wants a registration page.
- Real-world use case 03
Edge cases in a file uploader
A user wants to upload images.
Complete set · 1capability
The complete Requirement Decomposition Prover capability set.
These are the exact actions your AI can choose when you ask it to work with Requirement Decomposition Prover.
01
1 capability in this set.
Part of 1 available through Requirement Decomposition Prover.
- 01 Capability
Validate requirement decomposition
Forces the AI to define inputs, errors, edge cases, security, and observability for a feature. It ensures the requirement is production-ready before you start coding.
Set up in minutes
One URL. Then ask Requirement Decomposition Prover to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Requirement Decomposition 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_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/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 Requirement Decomposition Prover, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Requirement Decomposition Prover for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/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 Requirement Decomposition Prover URL.
- Step 03
Save and start
Save the connection and enable Requirement Decomposition Prover in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"requirement-decomposition-prover": {
"url": "https://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/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 Requirement Decomposition Prover
Open Agent mode in chat and ask: "Using Requirement Decomposition Prover, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"requirement-decomposition-prover": {
"url": "https://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/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 Requirement Decomposition Prover
Ask Copilot: "Using Requirement Decomposition Prover, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"requirement-decomposition-prover": {
"url": "https://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/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 Requirement Decomposition Prover
Open Cascade and ask: "Using Requirement Decomposition Prover, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"requirement-decomposition-prover": {
"url": "https://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/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 Requirement Decomposition Prover
Ask Cline: "Using Requirement Decomposition Prover, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add requirement-decomposition-prover --transport http "https://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/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 Requirement Decomposition Prover
Ask Claude: "Using Requirement Decomposition Prover, show me...". 1 tools are ready
Where the request belongs
Work Requirement Decomposition Prover can move forward.
Software engineers who are tired of debugging production incidents caused by missing edge cases. It's for the architect who needs to ensure every new feature meets security and observability standards without manual oversight.
Senior Software Engineer
Uses it to ensure complex features have robust error handling and retry logic on a Tuesday afternoon.
Security Engineer
Uses it to mandate OWASP checks and input validation on every new API endpoint.
Product Manager
Uses it to translate vague user stories into technically complete requirements for the dev team.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Spec Prover
Catch broken formulas before they reach your codebase. Spec Prover forces AI agents to prove every specification works with real inputs. one trace exposes bugs that abstract review never finds.
Reversibility Architect Prover
LLMs suggest irreversible architectural changes. This engine is a 6-pivot cognitive trap that forces the agent to map data rollbacks, blast radius, and canary deployments before executing.
Task Completion Enforcer Prover
An AI was asked to build 5 API endpoints, write tests, and update documentation. It built 3 endpoints, left TODO comments in the tests, never touched the documentation, and declared 'Done! Let me know if you need anything else.' The user spent 40 minutes finding the gaps. This happens every single day, on every LLM, in every coding session. This capability forces five completion axes: requirement extraction, completion evidence, gap identification, continuation execution, and final verification against the original request.
Einstellung-Challenger Prover
AI models default to complex, familiar heuristics even when simpler solutions exist. This capability breaks suboptimal cognitive sets: identify default heuristics, search for counterexamples, map alternative paths, benchmark complexity metrics, and choose the most elegant solution.
Delivery Integrity Prover
Forces AI agents to reflect on task execution, matching prompt requirements to actual changes, verifying logs, and declaring gaps before claiming completion.
Code Integrity Prover
AI agents default to type evasion (like any, void*, unsafe, or ignore), TODO stubs, timing/sleep hacks, and empty catch blocks. 96% of developers don't trust AI-generated code. This capability enforces zero-workaround integrity across all programming languages.
Bring your own AI
Change the model, client or framework. Keep Requirement Decomposition 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 Requirement Decomposition Prover.
The practical details behind the request, access and result.
What is the 80% Problem that Requirement Decomposition Prover solves?
It addresses the gap where AI builds the visible features but skips the critical non-functional requirements like error handling, edge cases, and security.
How does Requirement Decomposition Prover help with security?
It forces your AI agent to validate every input against OWASP Top 10 standards and mandate security features like rate limiting and hashing before any code is written.
Can I use Requirement Decomposition Prover for small internal capabilities?
You can, but it's designed for production-grade software. For simple scripts, it might feel like extra work, but it ensures those capabilities are also robust.
Will Requirement Decomposition Prover make my AI agent write better code?
Yes, by providing a much higher quality blueprint. The agent has to account for failures and boundaries, resulting in more reliable final code.
Does Requirement Decomposition Prover follow industry standards?
Yes, it is grounded in IEEE 830 requirements specifications, SRE principles, and OWASP security standards.
How does this capability handle edge cases like Unicode or concurrency?
It forces the AI to explicitly define how the system handles these specific technical boundaries during the requirement phase.
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.
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.
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.
One connection away
Give your agent a direct line to Requirement Decomposition Prover.
Connect Requirement Decomposition Prover once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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