• SECURITY
  • LOGIC
  • ERRORS
  • HUMAN

How to validate API specifications with your AI

Connect this MCP to your AI client once. From there, your agent can tear apart your API designs to find the holes you missed.

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Short answer

How do I use AI to check my API specs?

Feed your API definitions into your AI client after connecting this MCP. Your agent uses the validation tools to hunt for missing error codes, security gaps, and logical edge cases. You'll get a structured breakdown of every vulnerability found.

Audit outcomes

Where your findings land.

The AI organizes its audit into specific categories so you can fix issues before they hit production.

SECURITY

Vulnerability reports

The AI flags weak authentication patterns or data exposure risks. You get a list of specific endpoints that need hardening.

LOGIC

Edge case detection

Your agent finds scenarios where the API might fail or return unexpected results. This helps you build more resilient logic.

ERRORS

Error handling gaps

The audit identifies missing status codes or vague error messages. You'll know exactly where to add more descriptive responses.

HUMAN

Manual review required

Certain complex architectural decisions or high-level business logic remain your responsibility. The AI highlights these areas for your final sign-off.

The workflow

What your AI does when the spec arrives.

The AI doesn't just read your text; it actively decomposes the requirements to test their integrity.

  1. Deconstruct the spec

    Your agent breaks down the API definition into individual functional requirements and data models.

    validate_requirement_decomposition

  2. Identify vulnerabilities

    The AI scans the decomposed requirements against common security flaws and logical inconsistencies.

    validate_requirement_decomposition

  3. Map edge cases

    The agent simulates various input combinations to see where the specification breaks down.

    validate_requirement_decomposition

  4. Generate audit report

    The AI compiles all identified gaps into a clear list of actionable items for your development process.

    validate_requirement_decomposition

Try it

Copy these to start.

Use these prompts to kick off an audit immediately.

Starting points

These are opening lines. Swap out the bracketed text with your actual file names or endpoint descriptions.

Requirement Decomposition Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Requirement Decomposition Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "requirement-decomposition-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_wKKWlM4bLEOHXMKPLAPFjHlWrj3rYTEMtRGByWPB/mcp"
    }
  }
}
Copy into chat04

  • Analyze this OpenAPI spec for any security vulnerabilities: [paste spec here]

  • Check the error handling logic in this endpoint definition: [paste endpoint details]

  • Find the edge cases for the following user registration API: [paste spec]

  • Audit this requirement decomposition for logical gaps: [paste requirements]

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Requirement Decomposition Prover once, then ask.

One click connects the MCP to your preferred client. Your credentials stay encrypted, and you can start auditing immediately.

Connect Requirement Decomposition Prover to your AI

FAQ

How this task behaves.

  • 01

    Can the AI write the actual code for the API?

    No. The AI audits the specification to find flaws, but it does not generate the implementation code.

  • 02

    Does the AI change my original specification files?

    No. The AI only reads your specs to perform the audit. It cannot modify your local files or repositories.

  • 03

    What kind of API formats does it support?

    It works with any text-based API specification you can provide to your AI client, such as OpenAPI or Swagger.

  • 04

    Will it find bugs in my running code?

    No. This tool is for validating specifications and requirements before you start coding.

  • 05

    Do I need to upload my files to Vinkius?

    No. You provide the data to your AI client, and the MCP allows the agent to process that data locally within your session.

  • More questions about Requirement Decomposition Prover? The Connector page answers them. See everything the Requirement Decomposition Prover Connector can do

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