# API Pagination Logic Verifier MCP for AI Agents MCP

> API Pagination Logic Verifier helps you find unbounded API endpoints before they cause service crashes. It parses your source code to ensure every endpoint uses proper offset, limit, or cursor-based pagination and enforces strict request limits to prevent memory exhaustion.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Fu90vSrkbCuuv2foFP5AUtCHhjZYtqpKKJHurjgj/mcp
- **Tags:** pagination, ast-parsing, api-safety, performance, audit

## Description

Reviewing new API endpoints for pagination errors is a tedious manual task that's easy to mess up. This MCP lets your agent scan through your actual source code to find exactly where an endpoint might be missing a limit or failing to provide navigation pointers. Instead of you manually tracing every controller and parameter, your agent can parse the logic to see if there are real guardrails in place or if an endpoint is just going to dump the entire database into memory when hit with a large request. It checks how parameters are handled and ensures response objects actually tell the client where to go next. You can connect this directly to your workflow through Vinkius to keep your API safety audits automated and consistent across your entire codebase.

## Tools

### inspect_pagination_metadata
Checks if your API responses include the necessary pointers for clients to move between pages. It ensures navigation metadata is present in the response object.

### verify_limit_enforcement
Scans your code to ensure you have implemented guardrails against massive requests. This prevents users from requesting too many records at once.

### analyze_offset_pagination
Looks at your endpoint parameters to confirm they are structured correctly for offset and limit patterns. It validates the implementation of pagination parameters.

## Prompt Examples

**Prompt:** 
```
Does this handler enforce a maximum limit of 50?
```

**Response:** 
```
The code correctly compares the incoming limit against the threshold of 50:

```javascript
if (limit > 50) limit = 50;
```

**Status:** Guardrail is active.
```

**Prompt:** 
```
Check if this endpoint has the right metadata for pagination.
```

**Response:** 
```
The response structure is valid. It includes:

* **totalCount**: 1250
* **nextCursor**: 'abc_123'
* **hasMore**: true

Clients will be able to navigate the pages successfully.
```

**Prompt:** 
```
Are my pagination parameters set up correctly for offset and limit?
```

**Response:** 
```
Yes, the implementation is correct. The handler properly destructures the following from the query string:

| Parameter | Type | Found |
| :--- | :--- | :--- |
| `limit` | Integer | Yes |
| `offset` | Integer | Yes |
```

## Capabilities

### Catch unbounded endpoints
Identify code paths that lack pagination logic and could lead to memory exhaustion.

### Audit response structures
Ensure your API responses include the necessary metadata for clients to navigate pages.

### Verify request guardrails
Check that your code actually enforces maximum limits on incoming requests.

### Validate parameter patterns
Confirm that offset and limit parameters are correctly implemented in your endpoint logic.

### Automate pagination audits
Use your agent to scan large codebases for inconsistent pagination implementations.

## Use Cases

### Preventing a database meltdown
A developer pushes an endpoint without a limit. They ask their agent to check the code, and the MCP flags the missing guardrail immediately.

### Standardizing microservice responses
An architect needs to ensure all services return navigation pointers. The agent uses inspect_pagination_metadata to audit the entire repository.

### Onboarding new developers
A new hire is unsure how to implement pagination. They use the MCP to verify their implementation matches the existing codebase patterns.

## Benefits

- Stop service crashes by finding endpoints that lack request limits using verify_limit_enforcement.
- Ensure a smooth client experience by checking response structures with inspect_pagination_metadata.
- Standardize your API design by validating parameter patterns through analyze_offset_pagination.
- Reduce manual code review time by letting your agent handle the heavy lifting of AST parsing.
- Identify hidden performance bottlenecks in your API layer before they reach production.

## How It Works

The bottom line is you get automated proof that your API endpoints won't crash your service due to massive, unpaginated requests.

1. Point your agent to the source code directory containing your API handlers.
2. The MCP parses the code using an AST engine to analyze endpoint logic and parameters.
3. You receive a detailed report of which endpoints are missing limits or navigation metadata.

## Frequently Asked Questions

**How can I prevent API memory exhaustion with API Pagination Logic Verifier?**
You use the MCP to scan your code for endpoints that lack request limits. By finding and fixing these unbounded queries, you stop large requests from crashing your service.

**Can API Pagination Logic Verifier check my existing codebase?**
Yes. You can point your agent to any directory, and the MCP will parse the source code to audit your pagination implementation across all files.

**Does API Pagination Logic Verifier work with cursor-based pagination?**
Yes. The engine is designed to identify correct patterns for both offset/limit and cursor-based navigation, ensuring your clients can move through pages reliably.

**What makes API Pagination Logic Verifier different from a standard linter?**
While a linter checks for syntax, this MCP uses AST parsing to understand the actual logic of your endpoints, specifically looking for safety guardrails and pagination structures.

**Can I use API Pagination Logic Verifier in my CI/CD pipeline?**
Absolutely. Since it works with any MCP-compatible client, you can integrate these checks into your automated testing and deployment workflows to catch errors early.

**How does the verifier detect pagination errors?**
The engine uses Abstract Syntax Tree (AST) parsing to analyze code structure without execution, looking for specific patterns in variable declarations and function parameters.

**Can I use this to check for cursor-based pagination?**
Yes, by using `inspect_pagination_metadata`, you can verify if the response object includes navigation pointers like `nextCursor`.

**What happens if a limit is not enforced?**
If `verify_limit_enforcement` detects that an incoming limit can bypass the threshold, it will flag a violation, indicating a risk of memory exhaustion.