Check Power Query M code for syntax errors, unknown references, and argument mismatches with line/column details and plain-English fixes. Pass a formula or source to validate.
MIT
619,831 tools. Updated 2026-09-28 18:53
"Using Laravel Helper Functions and Resolving MySQL Table Query Errors" matching MCP tools:
- Retrieve a specific query configuration from a Tulip Table using table and query IDs to access manufacturing data through the Tulip API.Apache 2.0
- Convert SQL queries between dialects like T-SQL, PostgreSQL, MySQL, Snowflake, BigQuery, and more. Handles LIMIT/TOP, COALESCE, date functions, and quoting differences.MIT
- Analyze database object dependencies including views, functions, triggers, sequences, extensions, and foreign data wrappers at database, schema, or table level.MIT
- Find test helper structs and factory functions in a Go package's test files to avoid duplicating existing test infrastructure before writing new tests.MIT
- Generate exact ALTER TABLE ADD INDEX SQL for MySQL columns flagged by analysis, including composite index variants and EXPLAIN guidance to confirm index usage.MIT
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- Run ad-hoc queries on any ServiceNow table using encoded query strings, with options for fields, limits, and pagination.MIT
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- Identify and analyze slow MySQL queries using performance_schema data to optimize database performance by examining execution times, row statistics, and query patterns.Apache 2.0
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- Read rows from a single allowlisted MySQL table with equality/IN/range filters, pagination, and automatic masking of sensitive columns.MIT
- Retrieve the schema of a MySQL table, including column names, data types, and constraints, using a read-only metadata query.MIT
- Generate a formatted example table with sample data to preview layouts and styles. Supports grid, box, pipe, and safe formats, along with table styles like mysql.MIT
- Analyze MySQL query execution plans to identify performance bottlenecks, index usage, and optimization opportunities using EXPLAIN functionality.Apache 2.0
- Analyze MySQL table statistics to identify optimization needs like index improvements, table fragmentation, and partitioning opportunities by examining size, row counts, and index information.Apache 2.0
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- Analyze MySQL query patterns to identify full table scans and inefficient index usage, then generate prioritized index recommendations for performance optimization.Apache 2.0
- Remove custom return statements from helper functions by specifying the helper name, and optionally the statement text or row ID. Delete by ID, text, or all statements for a helper.MITDestructive
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