Generate schema-aware query suggestions with ready-to-run SQL to help explore unfamiliar databases and find useful queries.
MIT
207,082 tools. Last updated 2026-06-17 20:13
"Techniques for Analyzing and Interacting with Large MS SQL Databases" matching MCP tools:
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- Retrieve CUDA and host operation latency statistics, including percentiles for small databases and aggregate metrics for large databases. Works with live or saved tracing data.
- Discover accessible databases on SQL Server by querying sys.databases, excluding system and blocked databases by default, with options to include system databases.Apache 2.0
- Execute a SELECT query across multiple databases and view results side by side for comparison.MIT
- Fetch detailed information about Metabase models including cards, dashboards, tables, and databases using specific IDs. Supports batch retrieval and pagination for large datasets.MIT
- Execute SQL queries on Redshift databases to retrieve data, with large results stored in S3 for efficient handling.MIT
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- Execute SQL statements on PostgreSQL databases with parameter support, transaction handling, and timeout control for data operations and schema management.AGPL 3.0
- Return a list of all databases in the SQL Server instance for inventory and administration.
- Inspect app state by viewing preferences and databases. List SharedPreferences or UserDefaults, browse SQLite tables, or execute custom SQL queries on Android and iOS apps.MIT
- Retrieve SQL Lab configuration data including allowed databases and settings to initialize the SQL query interface in Apache Superset.MIT
- Execute custom SQL SELECT queries on Microsoft SQL Server databases with automatic row limiting for data retrieval and analysis.MIT
- Retrieves accessible databases from SQL Server, with options to include system databases or filter by name pattern using LIKE syntax.MIT
- Search across SQL Server databases for objects like tables, views, procedures, and functions using name patterns with SQL LIKE syntax.MIT
- Execute SQL queries on a Microsoft SQL Server database using optional parameters for prepared statements.MIT