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198,096 tools. Last updated 2026-06-13 04:05

"A server to interact with an SQL database with insert operation support (LiteSQL, DuckDB, Postgres)" matching MCP tools:

  • Execute read-only SQL queries against PostgreSQL, MySQL, or SQL Server. Automatically adapts syntax to the target dialect. Returns results with connection and dialect metadata. Default limit 100 rows.
    MIT
  • Execute data quality validation rules from a YAML file against DuckDB, BigQuery, Athena, Databricks, or Postgres, returning a JSON report with optional LLM-driven root cause analysis.
    Apache 2.0
  • Lists all configured database connections with details like type and host. Use this to discover available connections before using other tools.
    Apache 2.0
  • Execute data modification SQL statements (INSERT, UPDATE, DELETE, DDL). Validate without executing by setting dryRun=true; confirm destructive operations like DROP or TRUNCATE before execution.
    MIT

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  • Execute SQL queries (SELECT, INSERT, UPDATE, DELETE) against a database connection. Supports parameterized queries to prevent SQL injection.
    Apache 2.0
  • Execute write SQL statements such as INSERT, UPDATE, DELETE, and DDL on a MySQL database, with optional bind parameters and database selection.
    MIT
  • Generate SQL migration scripts by comparing database schemas. Compare live databases or a database against target DDL to create ALTER statements for schema updates.
    MIT
  • Execute read-only SQL SELECT queries against a database connection, returning rows, columns, row count, and execution time while rejecting unsafe statements.
    MIT
  • Translate a natural-language question into an SQL statement using an LLM. Review the generated SQL before executing it with run_sql.
    MIT
  • Drag an element from a source and drop it onto a target to reorder items or interact with drag-and-drop UI elements.
    MIT
  • Retrieve recent RawTree query and insert logs to troubleshoot errors, verify activity, and inspect SQL with filters by type, status, origin, and table.
    MIT
  • Execute SQL queries to debug and inspect data in dbt projects, with an optional limit parameter to control result size.