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Analyze SQL queries in any MCP client without setup or database connection.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ai.sixta/sixta-connect" MCP server from askskill: Run: claude mcp add --transport http 'ai-sixta-sixta-connect' 'https://connect.sixta.ai/mcp'
Analyze the potential performance risks in this SQL and point out parts that may hurt execution efficiency: SELECT * FROM orders WHERE DATE(created_at) = '2024-01-01' ORDER BY total_amount DESC;
A review of SQL performance issues, highlighting risky patterns and possible optimization directions.
Analyze this SQL for readability, robustness, and potential issues, then suggest improvements: SELECT u.id, o.id FROM users u LEFT JOIN orders o ON u.id = o.user_id WHERE o.status = 'paid';
An assessment of the query structure and style, with safer rewrite suggestions.
Explain what this SQL does, describe each clause step by step, and summarize the likely business intent: WITH t AS (SELECT customer_id, SUM(amount) amt FROM payments GROUP BY customer_id) SELECT * FROM t WHERE amt > 1000;
A human-readable explanation that helps quickly understand the SQL logic and purpose.
Developers or data analysts can paste a query directly into a chat-based MCP workflow and get SQL analysis without connecting to a database or installing extra tools.
When a team needs a quick judgment on whether a SQL query has performance, structural, or style issues, this tool can provide static analysis before deeper optimization work.
It analyzes SQL queries inside any MCP client. The description says you only need to paste a query, with no database connection and no installation required.
Based on the provided description, no database connection is needed. It explicitly says “No connection,” indicating analysis can be done directly from the pasted SQL.
According to the provided description, no installation is required. For supported clients, configuration, or runtime details, see the source repository.
Inspect database schemas, index issues, table bloat, and query plans.
Query, monitor, and analyze SQL Server and Azure SQL databases directly.
Query, analyze, and modernize Microsoft SQL Server databases using natural language.
Run read-only SQL Server queries and inspect query performance statistics.
Securely inspect and query SQL Server databases for analysis and troubleshooting.
Query SQL databases in natural language with auto-generated, self-correcting SQL.