• STRUCTURAL
  • SEMANTIC
  • CONSISTENCY
  • HUMAN

How to audit API design flaws with your AI

Connect your API specs to your agent to catch structural mistakes early. It flags design errors before they become technical debt.

Ask AI about this page

Short answer

How can I use AI to find API design errors?

Your agent scans your OpenAPI or Swagger files to spot patterns like improper HTTP verb usage or missing versioning. You get a clear list of design flaws to fix before implementation begins.

Where every issue lands.

Categorized design flaws.

The AI sorts every detected error into specific buckets for easier triage.

STRUCTURAL

Routing and versioning

The AI finds unversioned paths or broken resource hierarchies. You get a list of routes that need standardizing.

SEMANTIC

Verb and method abuse

It flags where you're using POST when you should use PUT, or GET for actions that change state. This keeps your REST patterns clean.

CONSISTENCY

Error shape mismatches

The agent checks if your error responses follow a single, predictable schema. It highlights where your error objects diverge.

HUMAN

Manual design review

The AI flags complex logic or ambiguous naming that requires your specific architectural judgment. You decide how to handle these edge cases.

The workflow

What your AI does when the spec arrives.

The AI acts as a specialized linter for your architectural intent.

  1. Ingest specifications

    Your agent reads your raw OpenAPI or Swagger files to understand the current endpoint structure.

    validate_api_design

  2. Identify pattern violations

    The AI compares your routes and methods against standard RESTful best practices.

    validate_api_design

  3. Detect schema drift

    It looks for inconsistencies in how different endpoints handle status codes and response bodies.

    validate_api_design

  4. Generate fix suggestions

    The agent provides specific corrections for the identified flaws so you can update the spec immediately.

    validate_api_design

Try it

Copy these to start.

Paste these prompts into your chat to begin the audit.

Starting points

Swap the bracketed text for your actual file paths or repository links.

API Design Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qg8XbvSmxEnaSpHzTf8C0mUG7OY2r5bZJfEFviZ0/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 — API Design Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "api-design-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qg8XbvSmxEnaSpHzTf8C0mUG7OY2r5bZJfEFviZ0/mcp"
    }
  }
}
Copy into chat04

  • Audit the API design in my local spec file at ./docs/openapi.yaml.

  • Check the routes in my GitHub repo at user/api-service for verb abuse.

  • Look at the error response shapes in my swagger.json and find inconsistencies.

  • Review the versioning strategy in my current API definition for any missing route versions.

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

Start here

Connect API Design Prover once, then ask.

One connection gives your agent access to your design files. You can then start asking for audits in any MCP-compatible client.

Connect API Design Prover to your AI

FAQ

How this task behaves.

  • 01

    Can the AI automatically fix my code?

    No. The AI identifies flaws in your design specifications, but you must manually apply those changes to your codebase.

  • 02

    Does it work with any API format?

    It is designed to work with standard OpenAPI and Swagger specifications.

  • 03

    Will it delete my API files?

    No. The AI only reads your files to perform the audit; it has no capability to delete or overwrite your data.

  • 04

    Can it check my live production API?

    No. This tool audits design files and specifications, not live network traffic or running endpoints.

  • 05

    How does it know what a 'bad' design is?

    It uses the logic defined in the validate_api_design tool to check your spec against established RESTful standards.

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

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