
Connect API Pagination Logic Verifier to ChatGPT and Claude
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop memory exhaustion from unbounded endpoints.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 3 capabilities
We ship only the actions that matter.
01-03
3 capabilities in this set.
Part of 3 available through API Pagination Logic Verifier.
- 01
Analyze offset pagination
Checks if an endpoint implementation correctly accepts and structures parameters for offset/limit pagination
- 02
Inspect pagination metadata
Verifies that the API response structure includes the necessary information for clients to navigate pages
- 03
Verify limit enforcement
Audits whether the code implements a guardrail to prevent excessively large requests
Real work
What teams actually run
Auditing a User Feed API
You want to confirm that your user feed endpoint accepts both limit and offset parameters, ensuring proper page handling.
Securing Large Data Exports
A client might try to pull millions of records. Use this MCP to verify that your code enforces a maximum limit, preventing memory exhaustion.
Building a Paginated Search Endpoint
You need to confirm that the search results response includes totalCount and a nextCursor so the client knows how to continue querying.
Refactoring Legacy Code
When updating old API endpoints, use this MCP to quickly audit the source code for missing pagination logic or guardrails.
One connector, every AI
API Pagination Logic Verifier works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put API Pagination Logic Verifier to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
694ms average. Fast in production.
API Pagination Logic Verifier is checked daily against the live service.
- Fastest day
- 587ms
- Slowest day
- 874ms
- 14-day trend
- Improving-5%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of API Pagination Logic Verifier, so you can see the experience inside your AI.
It does not authenticate your account with API Pagination Logic Verifier. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
API Pagination Logic Verifier Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Fu90vSrkbCuuv2foFP5AUtCHhjZYtqpKKJHurjgj/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — API Pagination Logic Verifier capabilities are ready to use.
{
"mcpServers": {
"api-pagination-logic-verifier-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Fu90vSrkbCuuv2foFP5AUtCHhjZYtqpKKJHurjgj/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up API Pagination Logic Verifier in Claude and other AIs
Who it's for
Built for the work API Pagination Logic Verifier owners hand off.
This MCP is essential for backend engineers and API architects. If you write services that handle large datasets, you need to ensure your endpoints are resilient. It lets you audit code for memory safety before deployment.
- 01
Backend Developer
Use it to validate that your API handlers correctly implement pagination logic and prevent crashes.
- 02
API Architect
Run it to enforce consistent standards across multiple services, ensuring every endpoint is stable and scalable.
- 03
DevOps Engineer
Leverage it to audit source code for potential memory exhaustion points before integration testing.
FAQ
Questions API Pagination Logic Verifier owners ask.
- 01
What kind of code does this MCP audit?
This MCP is an AST-based engine, meaning it parses source code. It analyzes the structure of your backend code to check how you handle API parameters and responses.
- 02
Does this prevent all memory issues?
It specifically targets memory exhaustion caused by unbounded API endpoints. It helps ensure that requests are limited and paginated correctly, which is the primary cause of these crashes.
- 03
What is the difference between offset/limit and cursor-based pagination?
The MCP checks for both. Offset/limit uses page numbers and sizes, while cursor-based uses a pointer (like a unique ID or timestamp) to tell the client exactly where to start the next page.
- 04
Do I need to worry about authentication?
No, this MCP does not require authentication to run its analysis capabilities, making it easy to integrate into your development workflow.
- 05
Can I use this with any API language?
It analyzes the structure of the code provided. It's designed to work with common backend languages used in API development.
- 06
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.
- 07
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.
- 08
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.
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Connect API Pagination Logic Verifier to Claude, Cursor, ChatGPT & more
