mcp-server-sql-analyzerMCP server for SQL static analysis.
Overview
Key features
- SQL syntax validation and linting
- SQL dialect conversion
- Table and column reference analysis
- Supported SQL dialect discovery
- Integration with AI assistants like Claude
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
SQL Query Validation
Validating SQL syntax before suggesting it to users, ensuring correct and dialect-appropriate queries.
Dialect Conversion
Converting SQL queries between different database systems while preserving query logic.
Pros & Cons
Pros
- Provides SQL syntax validation and linting
- Supports conversion between different SQL dialects
- Analyzes table and column references
- Discovers supported SQL dialects
- Enhances AI assistant capabilities for SQL-related tasks
Cons
- Limited information on scalability and performance
- Dependent on SQLGlot library
- May require configuration for specific use cases
Reviews
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Q&A
What are the main limitations when integrating mcp-server-sql-analyzer with other systems?
Limitations include unclear scalability and performance details, dependence on the SQLGlot library, and the need for configuration for specific use cases such as custom dialects or large query sets.
Asked by Nadia Petrova · Nov 22, 2025
Can the tool convert queries between different database dialects? Which dialects are supported?
Yes, the transpile_sql function can convert SQL from a source dialect to a target dialect (e.g., MySQL to PostgreSQL). The tool discovers supported dialects internally, but the exact list depends on SQLGlot’s capabilities at runtime.
Asked by Daniel Schmidt · Nov 18, 2025
How does mcp-server-sql-analyzer validate SQL syntax and what format does it return errors?
The server uses the SQLGlot library to lint queries via the lint_sql tool. It returns a ParseResult JSON with is_valid, a message string, and an optional position object indicating line and column of any syntax errors.
Asked by Bruno Kaufmann · Sep 30, 2025
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