# Code Integrity Prover MCP for AI Agents AI Agent Connect

> Code Integrity Prover. AI agents often take the path of least resistance by using type escapes, TODO stubs, and silent error handling that creates massive technical debt. This Connector forces your agent to prove its code is production-ready by enforcing strict typing, complete implementations, and proper error recovery across any language. It catches lazy habits before they hit your PR, ensuring your AI-generated code actually meets engineering standards.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_jFZoweIYKxgCWa80Y8BDR5PM7selSnPLkB3gfPHH/ai-agent-connect
- **Tags:** code-quality, zero-workaround, type-safety, code-review, technical-debt, anti-pattern-detection, reasoning-validation, agentic-pipeline

## Description

Code Integrity Prover enforces production-grade standards on your AI-generated code. When you ask an AI to build a feature, it often gives you code that works on the surface but is riddled with shortcuts. It might use a generic type just to make the compiler shut up, leave a TODO for the logic it didn't want to write, or use a sleep timer to mask a race condition. This creates a mess of technical debt that you have to clean up later. This Connector changes that dynamic by forcing your agent to think like a senior engineer who actually cares about the long-term health of the code. Instead of just getting code that runs, you get code that follows engineering principles like strict typing, explicit error handling, and DRY logic. It catches the lazy habits before they ever hit your PR. By using this through the Vinkius catalog, you ensure that the code your agent proposes is actually ready for production, not just a first draft that requires a week of refactoring. It turns your AI from a fast coder into a disciplined teammate. It moves the needle from it works for now to it's built to last.

## Tools

### validate_code_integrity
Scans code for type hacks, placeholders, and workarounds to ensure it meets production standards. It provides a structured reflection on why the code fails integrity checks.

## Prompt Examples

**Prompt:** 
```
I need a function to handle user login.
```

**Response:** 
```
**Verdict: TODO_DETECTED**

The code contains placeholders for the refresh token logic.

**Issues:**
- `TODO: Implement refresh token logic`
- `NotImplementedError` in `get_token`

**Fix:**
Please complete the refresh token logic or remove these stubs before committing.
```

**Prompt:** 
```
Write a retry loop for the DB.
```

**Response:** 
```
**Verdict: WORKAROUND_DETECTED**

The code uses `time.sleep()` to handle database connection retries.

**Issues:**
- `sleep(5)` inside a loop masks a potential race condition or network failure.

**Fix:**
Use an exponential backoff library or a proper async retry strategy with a circuit breaker.
```

**Prompt:** 
```
I've finished the auth module.
```

**Response:** 
```
**Verdict: CODE_PROVEN**

The implementation meets all integrity standards:
- **Types:** Strict interfaces used for JWT payloads.
- **Placeholders:** No TODOs or stubs found.
- **Workarounds:** No sleep loops or magic delays.
- **Errors:** Specific exception handling with recovery paths.
- **Duplication:** Shared logic extracted to utils.

**Status:** Production-grade.
```

## Capabilities

### Enforce strict type safety
Blocks the use of type escapes like any or unsafe to ensure your code follows strict typing rules.

### Strip out placeholder stubs
Identifies and rejects TODOs, FIXMEs, and unimplemented stubs in production-bound code.

### Eliminate timing workarounds
Detects and flags sleep loops or busy-wait polling that mask underlying concurrency issues.

### Validate error recovery paths
Ensures every catch block handles specific exceptions and preserves debugging context.

### Detect logic duplication
Identifies copy-pasted blocks and hardcoded values to maintain a DRY codebase.

## Use Cases

### PR Review
A developer uses it to double-check a massive refactor for hidden workarounds before merging.

### Feature Planning
An architect validates a proposed logic flow before a single line of code is written.

### Automated CI
A pipeline checks every AI-generated pull request for placeholder residue automatically.

### Legacy Migration
Converting old code to a new framework while ensuring no lazy types are introduced.

## Benefits

- Stop technical debt before it starts by using validate_code_integrity to catch shortcuts.
- Ensure type safety across all languages by blocking any and unsafe escapes.
- Remove TODO debt from your codebase by forcing complete implementations.
- Eliminate flaky behavior by replacing sleep loops with proper async logic.
- Improve maintainability by identifying and consolidating duplicated logic.
- Gain confidence in AI-generated features with a PROVEN integrity verdict.

## How It Works

The bottom line is your agent must prove its code meets production standards before committing.

1. Submit your proposed code or implementation plan to the Connector.
2. The engine scans the logic against 16 consistency rules and language-specific anti-patterns.
3. You get a PROVEN verdict or a specific list of integrity flaws to fix.

## Frequently Asked Questions

**What is Code Integrity Prover?**
It is a tool that ensures your AI agent writes production-ready code by enforcing strict typing, removing placeholders, and eliminating lazy workarounds.

**How does it stop AI from using any?**
The Connector scans your code for type escapes like 'any' or 'unsafe' and rejects the code, forcing the agent to define proper interfaces instead.

**Can it check any programming language?**
Yes, it uses language-agnostic rules and specific anti-pattern dictionaries to scan for issues in any language or framework.

**Does it replace my linter?**
No, it goes beyond syntax. While a linter checks for style, this tool validates the logic, intent, and architectural integrity of the code.

**How does it handle error logs?**
It ensures that every catch or except block handles a specific error type and includes a recovery strategy rather than just logging and passing.

**Why should I use it for PR reviews?**
It acts as an automated gatekeeper, catching common AI mistakes like duplicated logic or sleep hacks before they reach your human reviewers.

**Does Code Integrity Prover run a linter or static analysis?**
No. It operates at the REASONING layer, not the code layer. It forces the agent to declare its type strategy, audit for placeholders, audit for workarounds, describe its error handling, and confirm no duplication — then validates the consistency of those declarations. The agent does the audit. The tool catches contradictions.

**Can I still use TODO during prototyping?**
The prover enforces zero placeholders in production-bound code. If you're prototyping, set noPlaceholders to false and the verdict will be PLACEHOLDER_DETECTED — not a failure, but a checkpoint. The clarification field forces you to document what needs completion. Deliberate shortcuts are acceptable when documented.

**Which languages are supported by Code Integrity Prover?**
It is fully language-agnostic. The logic engine detects language-neutral anti-patterns like compiler warning suppressions, empty catch/except blocks, TODO placeholder comments, and timing hacks, protecting any software architecture.