SQL Query Complexity Analyzer Connector for AI agents.
2 live capabilities
Audit SQL performance and security risks
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Why people use SQL Query Complexity Analyzer
SQL Query Complexity Analyzer for database safety
With this Connector, the heavy lifting is gone. You just hand the query to your agent, and it immediately flags the dangerous parts and breaks down the join logic so you can see the risks clearly.
What Vinkius changes
You get an automated safety check for every query you write.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Verifying migration scripts
A developer is about to run a production migration and asks their agent to check for any missing WHERE clauses that could wipe the users table.
- Real-world use case 02
Optimizing slow queries
An engineer notices high CPU usage and uses the Connector to see if a specific complex join is causing the bottleneck.
- Real-world use case 03
Code review automation
During a PR, an agent scans new SQL files to ensure they follow the company's safety and performance standards.
Complete set · 2capabilities
The complete SQL Query Complexity Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with SQL Query Complexity Analyzer.
01—02
2 capabilities in this set.
Part of 2 available through SQL Query Complexity Analyzer.
- 01 Capability
Assess query safety
Scans for risky patterns like SELECT * or dangerous deletions that lack a WHERE clause. Use this to prevent accidental data loss.
- 02 Capability
Analyze join structure
Breaks down every join type in your SQL statement to show how tables are connected. It helps you understand the complexity of your query relationships.
Set up in minutes
One URL. Then ask SQL Query Complexity Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use SQL Query 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_fOc2XGXsJT2gPnusVQN22TQugctVCqR9mKGKNkGe/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 SQL Query Complexity Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable SQL Query Complexity Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_fOc2XGXsJT2gPnusVQN22TQugctVCqR9mKGKNkGe/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 SQL Query Complexity Analyzer URL.
- Step 03
Save and start
Save the connection and enable SQL Query Complexity Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"sql-query-complexity-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_fOc2XGXsJT2gPnusVQN22TQugctVCqR9mKGKNkGe/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 SQL Query Complexity Analyzer
Open Agent mode in chat and ask: "Using SQL Query Complexity Analyzer, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"sql-query-complexity-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_fOc2XGXsJT2gPnusVQN22TQugctVCqR9mKGKNkGe/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 SQL Query Complexity Analyzer
Ask Copilot: "Using SQL Query Complexity Analyzer, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"sql-query-complexity-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_fOc2XGXsJT2gPnusVQN22TQugctVCqR9mKGKNkGe/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 SQL Query Complexity Analyzer
Open Cascade and ask: "Using SQL Query Complexity Analyzer, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"sql-query-complexity-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_fOc2XGXsJT2gPnusVQN22TQugctVCqR9mKGKNkGe/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 SQL Query Complexity Analyzer
Ask Cline: "Using SQL Query Complexity Analyzer, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add sql-query-complexity-analyzer --transport http "https://edge.vinkius.com/vk_preview_fOc2XGXsJT2gPnusVQN22TQugctVCqR9mKGKNkGe/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 SQL Query Complexity Analyzer
Ask Claude: "Using SQL Query Complexity Analyzer, show me...". 2 tools are ready
Where the request belongs
Work SQL Query Complexity Analyzer can move forward.
This is for the engineers who can't afford to break production. It's for the developers and DBAs who need a quick way to verify code before deployment.
Database Administrator
Reviewing incoming migration scripts to ensure they won't lock critical tables.
Backend Engineer
Checking complex ORM-generated queries for hidden performance traps.
Data Engineer
Auditing large ETL transformation scripts for structural efficiency.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Audit SQL queries for syntax errors before executing them. Prevent DB crashes and deadlocks with local AST parsing.
SQL Migration Safety Analyzer
Validate SQL migrations for structural risks, rollback integrity, and unbounded deletions.
GraphQL Query Complexity Analyzer
Analyze GraphQL queries for structural complexity, depth, and token count.
ClickHouse
Query and manage ClickHouse databases. execute analytical SQL, monitor replication status, and manage schemas directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep SQL Query Complexity Analyzer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
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Cline -
Zed -
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Before you connect
Questions about SQL Query Complexity Analyzer.
The practical details behind the request, access and result.
How does SQL Query Complexity Analyzer prevent data loss?
It scans your SQL statements for dangerous patterns like DELETE or UPDATE operations that lack a WHERE clause, flagging them before you execute them.
Can I use SQL Query Complexity Analyzer to find slow queries?
Yes. It analyzes the join structures and complexity of your statements, helping you identify where high computational costs might occur.
Does SQL Query Complexity Analyzer work with any database type?
It works with any standard SQL syntax. As long as your agent can read the query, this Connector can analyze its structure and safety.
Can I integrate SQL Query Complexity Analyzer into my CI/CD pipeline?
Since it is an Connector, you can use it within any compatible AI client or agent that you use during your development and testing workflows.
Will SQL Query Complexity Analyzer help with indexing?
Yes. By breaking down the join structures, it helps you identify which tables and columns are central to complex operations, pointing out where indexes are needed.
How can I check if my query has dangerous patterns?
You can use the assess_query_safety capability. It will specifically flag if you are using SELECT * or if an UPDATE/DELETE statement is missing a WHERE clause.
Can this capability help with query optimization?
Yes. By using analyze_join_structure, you can understand the complexity of your joins, which is a key step in optimizing database performance.
What kind of join types are detected?
The analyze_join_structure capability detects INNER, LEFT, RIGHT, and FULL joins within your SQL query.
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