GraphQL Complexity Analyzer Connector for AI agents.
1 live capability
Prevent production outages by auditing GraphQL query depth and token counts.
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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.
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
- 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.
- Real-world use case 02
Identifying DoS vectors
A security lead wants to find queries that could crash the server.
- 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.
01
1 capability in this set.
Part of 1 available through GraphQL Complexity Analyzer.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_La4Qg4f4AghAUbDDvit6e9M1582UdhhgOiZWaSBS/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it GraphQL Complexity Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable GraphQL Complexity Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_La4Qg4f4AghAUbDDvit6e9M1582UdhhgOiZWaSBS/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the GraphQL Complexity Analyzer URL.
- Step 03
Save and start
Save the connection and enable GraphQL Complexity Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"graphql-query-complexity-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_La4Qg4f4AghAUbDDvit6e9M1582UdhhgOiZWaSBS/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using GraphQL Complexity Analyzer
Open Agent mode in chat and ask: "Using GraphQL Complexity Analyzer, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"graphql-query-complexity-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_La4Qg4f4AghAUbDDvit6e9M1582UdhhgOiZWaSBS/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using GraphQL Complexity Analyzer
Ask Copilot: "Using GraphQL Complexity Analyzer, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"graphql-query-complexity-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_La4Qg4f4AghAUbDDvit6e9M1582UdhhgOiZWaSBS/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using GraphQL Complexity Analyzer
Open Cascade and ask: "Using GraphQL Complexity Analyzer, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"graphql-query-complexity-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_La4Qg4f4AghAUbDDvit6e9M1582UdhhgOiZWaSBS/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using GraphQL Complexity Analyzer
Ask Cline: "Using GraphQL Complexity Analyzer, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add graphql-query-complexity-analyzer --transport http "https://edge.vinkius.com/vk_preview_La4Qg4f4AghAUbDDvit6e9M1582UdhhgOiZWaSBS/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using GraphQL Complexity Analyzer
Ask Claude: "Using GraphQL Complexity Analyzer, show me...". 1 tools are ready
Where the request belongs
Work GraphQL Complexity Analyzer can move forward.
This is for backend engineers and API architects who need to protect their infrastructure from inefficient queries or malicious resource exhaustion attacks.
Backend Engineer
Audits complex nested queries to prevent database timeouts during peak traffic.
API Architect
Defines complexity limits for public-facing GraphQL endpoints to ensure stability.
Security Researcher
Identifies potential DoS vectors in the GraphQL schema by checking query depth.
Frontend Developer
Checks if a new UI component is requesting too much data in a single call.
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Bring your own AI
Change the model, client or framework. Keep GraphQL Complexity Analyzer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
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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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