Analyze and fix SQL errors by providing the database ID, SQL statement, and error message.
Apache 2.0
166,618 tools. Last updated 2026-06-02 15:28
"How to connect to Azure SQL database" matching MCP tools:
- Run SQL queries to analyze, modify, or troubleshoot Heroku PostgreSQL databases. Execute commands or file-based queries with credential management for direct database access.Apache 2.0
- Analyze code-database dependencies to assess impacts before implementing changes. Use this tool to identify which code relies on specific database objects or how database changes affect code. Essential for validating AI-suggested modifications or SQL code updates.Mozilla Public 2.0
- Filter SQL query examples to only those matching object classes present in your database. Provide object class IDs to get relevant examples.Apache 2.0
- Execute SQL queries on Apache Doris databases via the Doris MCP Server. Specify SQL statements, target database, row limits, and timeout settings for precise query handling and result retrieval.Apache 2.0
- Generate SQL code for dbt models without executing it to validate syntax, preview transformations, or inspect how dbt interprets models before database execution.MIT
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Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
- Fetch historical stock price data and load it into a SQL database for analysis. Use this tool to prepare market data for SQL queries, enabling detailed financial analysis of price trends and patterns.MIT
- Execute SQL queries on the DX Data Cloud PostgreSQL database to retrieve organizational data. Use information_schema to explore available tables and columns.MIT
- Close all active connections to the SQL Server database and return the disconnection status with count of closed connections.Apache 2.0
- Fetch option chain data and load it into an SQL database for analysis using SQL queries. This tool enables structured querying of options data for the specified underlying symbol.MIT
- Analyze SQL query execution plans to understand database performance and optimize queries with detailed cost estimates and hypothetical index simulation.MIT
- Execute custom SQL queries on PostgreSQL databases to retrieve, analyze, or modify data directly through database connections.MIT
- Estimate SQL query execution costs before running them to optimize database performance and resource allocation in Apache Superset.MIT
- Analyze SQL query execution plans to understand database performance, optimize queries, and simulate index changes for PostgreSQL databases.MIT
- Retrieve all SQL function names supported by a specific database in Apache Superset to understand available query capabilities and ensure compatible SQL operations.MIT
- Run custom SQL SELECT queries to analyze data relationships in the Spanish stock exchange database.MIT
- Execute SQL queries safely with full schema awareness to interact with databases. Use get_schema() to analyze the database structure before querying.MIT
- Retrieve details of a saved SQL query from Apache Superset by its unique ID to access SQL text and database information.MIT
- Connect a JSON document database to cloud sync for sharing and collaboration across devices.MIT
- Connect to a PostgreSQL database using a connection URL or individual parameters like host, port, database, user, password, and SSL. Optionally enable read-only mode to block modifications.MIT