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161,477 tools. Last updated 2026-05-30 03:25

"Using Laravel Helper Functions and Resolving MySQL Table Query Errors" matching MCP tools:

  • Retrieve test helper structs and factory functions from test files for a given Go package. Use before writing tests to reuse existing infrastructure and avoid duplication.
    MIT
  • Retrieve table metadata including columns, summary detection, and merge functions to prevent query errors.
    Apache 2.0
  • 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
  • Execute SQL queries in MySQL databases directly from Claude AI. Retrieve table information and manage database interactions using natural language commands.
    MIT
  • 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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  • The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.

  • Help estimating move size, inventory and quotes for house or office movers.

  • Generate ALTER TABLE ADD INDEX SQL for MySQL columns flagged as missing indexes, including composite variants and EXPLAIN guidance to confirm index usage.
    MIT
  • 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
  • Retrieve MySQL server status including version, uptime, current connections, and query statistics to monitor database health and performance.
    MIT
  • Retrieve all scalar and table-valued functions from a SQL Server database, with optional filtering by schema and function type for targeted results.
    MIT
  • Detect row-level and table-level locks in MySQL databases to identify blocking queries and troubleshoot concurrency performance issues.
    MIT
  • Extract 'where' clauses from PureScript functions to identify local helper functions and variables, aiding in understanding function implementation details.
    MIT
  • Establish a connection to a MySQL database using host, user, password, and database details. Allows integration with MCP MySQL Server for query execution, table listing, and automated connection management.
    MIT