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SQL Query Complexity Analyzer

SQL Query Complexity Analyzer MCP Connector for Claude

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Analyze SQL query complexity, join structures, and safety risks.

2 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

The SQL Query Complexity Analyzer provides a structural audit of your SQL statements. It identifies the density of joins using analyze_join_structure to break down INNER, LEFT, RIGHT, and FULL join types. The server also performs safety checks via assess_query_safety to detect dangerous patterns like SELECT * or unfiltered UPDATE and DELETE operations that could lead to data loss. Use this tool to identify indexing opportunities and evaluate the relative computational cost of your queries.

sqlquery-optimizationdatabase-safetyperformancesql-audit

2 tools expose this connector's capabilities to your AI agent.

assess_query_safety

Assess the safety of a SQL query

analyze_join_structure

Analyze the join structure of a SQL query

See how to talk to your AI agent using SQL Query Complexity Analyzer.

Check the safety of this query: DELETE FROM users

The query is highly dangerous. It contains an unfiltered `DELETE` operation without a `WHERE` clause, which will remove all rows from the 'users' table.

Analyze the join structure of: SELECT * FROM orders JOIN customers ON orders.id = customers.order_id

The query contains 1 join operation, specifically an INNER JOIN between 'orders' and 'customers'.

Is there any risk in using SELECT * in my query?

Yes, using `SELECT *` is flagged as a safety risk because it can lead to over-fetching of unnecessary data and impact performance.

You can use the `assess_query_safety` tool. It will specifically flag if you are using `SELECT *` or if an `UPDATE`/`DELETE` statement is missing a `WHERE` clause.

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