MCP For Claude Marketplace
SQL Syntax Validator

SQL Syntax Validator MCP Connector for Claude

A+

Audit SQL queries for syntax errors before executing them. Prevent DB crashes and deadlocks with local AST parsing.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

AI Agents are great at writing SQL, but terrible reviewers. They often forget commas, close parentheses poorly, or use duplicated aliases in giant JOIN queries. Executing flawed queries directly on a production database can cause severe bottlenecks or deadlocks. This MCP solves this by validating the query local.

The Superpowers

  • AST Parsing: Uses node-sql-parser to evaluate the Abstract Syntax Tree. It tells the AI exactly where the syntax error is located before it touches the database.
  • Dialect Support: Supports MySQL, PostgreSQL, MariaDB, and BigQuery syntax.
sql-validationsyntax-checkingast-parsingquery-optimizationerror-prevention

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

validate_sql

Pass the raw SQL string and optionally the dialect (mysql, postgresql, mariadb, bigquery). The engine checks for syntax errors offline, preventing runtime crashes. Validates an SQL query by parsing its Abstract Syntax Tree (AST) offline before execution

See how to talk to your AI agent using SQL Syntax Validator.

Validate this PostgreSQL query before execution: `SELECT id, name FROM users WHERE email = 'test@example.com' ORDER BY created_at DESC;`

✅ **Valid SQL Query:** {"valid": true, "database": "postgresql", "type": "select"}

Check if this MySQL query is syntactically sound: `SELECT * FROM orders WHERE amount > 100 AND GROUP BY user_id`

❌ **Syntax Error:** Expected end of input, found 'GROUP' at line 1, column 47.

Audit this complex BigQuery join.

✅ **Valid SQL Query:** Checked AST correctly.

No, it purely evaluates the string syntax local.

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