• MISSING
  • PLACEHOLDERS
  • TESTS
  • HUMAN

How to verify API implementation with your AI

Connect this MCP to your AI client to audit your work. It catches missing logic and placeholder code before you ship.

Ask AI about this page

Short answer

How do I check if my API implementation is actually finished?

Your AI compares your current codebase against your original technical requirements. It identifies missing endpoints, incomplete validation logic, and empty test cases. You get a clear list of what's actually done and what's still just a placeholder.

Audit outcomes

Where every issue lands.

The AI sorts its findings into these specific categories.

MISSING

Unimplemented requirements

The AI flags any endpoint or rule defined in your spec that doesn't exist in the code. You'll see exactly what's missing.

PLACEHOLDERS

Empty logic detected

It finds 'TODO' comments, empty functions, or hardcoded return values used where real logic should be. This prevents shipping hollow code.

TESTS

Incomplete test coverage

The AI checks if your test suite actually covers the logic you wrote. It highlights gaps where tests are missing or pass for the wrong reasons.

HUMAN

Manual review needed

When the AI finds ambiguous logic or complex edge cases it can't verify, it hands the context to you. You decide if the implementation is sufficient.

The workflow

What your AI does when the requirements arrive.

The AI acts as a rigorous auditor for your development process.

  1. Map requirements

    The AI reads your API specification and maps out every required endpoint and validation rule.

    validate_task_completion

  2. Scan codebase

    It crawls your repository to find the actual implementation of those specific requirements.

    validate_task_completion

  3. Identify gaps

    The AI compares the spec to the code to find missing pieces or placeholder logic.

    validate_task_completion

  4. Verify tests

    It checks your test files to ensure they validate the specific logic you just implemented.

    validate_task_completion

Try it

Copy these to start.

Use these prompts to trigger an audit immediately.

Starting points

Replace the bracketed text with your specific file paths or repo names.

Task Completion Enforcer Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_TRZuombSa31k5jscX1KCJ089zhMtfMmLCTAbBgKK/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 — Task Completion Enforcer Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "task-completion-enforcer-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TRZuombSa31k5jscX1KCJ089zhMtfMmLCTAbBgKK/mcp"
    }
  }
}
Copy into chat04

  • Check my current repo against the requirements in /docs/api-spec.md.

  • Verify if all validation rules in the user-service folder are actually implemented.

  • Scan the auth-module for any placeholder logic or TODOs.

  • Audit my test suite in /tests to see if it covers the new endpoints in the controller.

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

Start here

Connect Task Completion Enforcer Prover once, then ask.

One click connects this MCP to your client. Your credentials stay encrypted, and you can start auditing your code right away.

Connect Task Completion Enforcer Prover to your AI

FAQ

How this task behaves

  • 01

    Can the AI fix the missing code for me?

    No. The AI only identifies what is missing or incomplete. You must write the actual implementation yourself.

  • 02

    Does the AI change my source files?

    No. The AI only reads your files to perform the audit. It cannot write, delete, or modify your code.

  • 03

    How does it know what a 'placeholder' is?

    It looks for common patterns like empty function bodies, 'TODO' comments, and hardcoded return values that bypass real logic.

  • 04

    Can I use this with any IDE?

    Yes, as long as your IDE uses an MCP-compatible client like Cursor, Windsurf, or VS Code.

  • 05

    What happens if my API spec is outdated?

    The AI will report that your code doesn't match the spec. It treats the spec as the source of truth for what 'complete' looks like.

  • More questions about Task Completion Enforcer Prover? The Connector page answers them. See everything the Task Completion Enforcer Prover Connector can do

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