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Vinkius

GraphQL Complexity Analyzer Connector for AI agents.

1 live capability

Prevent production outages by auditing GraphQL query depth and token counts.

Live agent request GraphQL Complexity Analyzer / Connector

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Why people use GraphQL Complexity Analyzer

GraphQL Query Complexity Analyzer for Preventing Backend Resource Exhaustion

This Connector changes that by letting your AI agent act as a performance auditor. You can feed it a query and get an immediate complexity score. It tells you exactly how deep the nesting goes and how many tokens are being used, so you can fix the issue before it ever leaves your local environment.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a clear warning before a heavy query ever hits your production environment.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Auditing a new user profile query

    A backend dev wants to see if a new nested query for user profiles is too deep.

  2. Real-world use case 02

    Identifying DoS vectors

    A security lead wants to find queries that could crash the server.

  3. Real-world use case 03

    Mobile app data optimization

    A product manager wants to ensure the mobile app isn't over-fetching data.

Complete set · 1capability

The complete GraphQL Complexity Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with GraphQL Complexity Analyzer.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through GraphQL Complexity Analyzer.

  1. 01 Capability

    Analyze query complexity

    Calculates a complexity score and nesting depth for a given GraphQL query to identify performance risks.

Set up in minutes

One URL. Then ask GraphQL Complexity Analyzer to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use GraphQL Complexity Analyzer from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_La4Qg4f4AghAUbDDvit6e9M1582UdhhgOiZWaSBS/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it GraphQL Complexity Analyzer, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable GraphQL Complexity Analyzer for the conversation.

Where the request belongs

Work GraphQL Complexity Analyzer can move forward.

Built around the request

This is for backend engineers and API architects who need to protect their infrastructure from inefficient queries or malicious resource exhaustion attacks.

01

Backend Engineer

Audits complex nested queries to prevent database timeouts during peak traffic.

02

API Architect

Defines complexity limits for public-facing GraphQL endpoints to ensure stability.

03

Security Researcher

Identifies potential DoS vectors in the GraphQL schema by checking query depth.

04

Frontend Developer

Checks if a new UI component is requesting too much data in a single call.

Bring your own AI

Change the model, client or framework. Keep GraphQL Complexity Analyzer connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
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Before you connect

Questions about GraphQL Complexity Analyzer.

The practical details behind the request, access and result.

What is the GraphQL Query Complexity Analyzer MCP?

It is a capability that checks how heavy a GraphQL query is. It looks at how many layers deep the data is nested and how many tokens it uses to give you a complexity score.

How does this help my API performance?

It helps by catching inefficient queries during development. By knowing the complexity score early, you can optimize the query to be faster and lighter before it hits your production environment.

Can I use this to prevent DoS attacks?

Yes. By identifying queries with excessive depth or token counts, you can set limits on your API to block malicious or poorly written requests that try to crash your system.

Does this capability work for all GraphQL queries?

It works for any standard GraphQL query document. You can pass it any query you're planning to run to see its structural complexity and resource impact.

Is this for frontend or backend developers?

It is for both. Backend devs use it to secure the API, while frontend devs can use it to make sure they aren't requesting more data than they actually need for the UI.

How do I know if a query is 'too heavy'?

The Connector provides a complexity score. While the specific threshold depends on your backend limits, it helps you identify outliers that are significantly more expensive than your standard requests.

What does this capability analyze?

It analyzes the structural complexity of a GraphQL query by calculating token count and nesting depth.

How is the complexity score calculated?

The score is derived from the number of tokens in the query and the maximum nesting depth, clamped between 0 and 100.

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