Stop the query profiler and retrieve aggregated query statistics including execution counts, timing metrics, and execution plan step costs. Results are saved for later analysis.
Apache 2.0
215,710 tools. Last updated 2026-06-20 02:36
"semantic-layer-for-sql-query-execution-with-dimensions-and-measures" matching MCP tools:
- Generate schema-aware query suggestions with ready-to-run SQL to help explore unfamiliar databases and find useful queries.MIT
- Improve SQL query performance by analyzing execution issues and providing rewritten queries, explanations, and index recommendations.MIT
- Analyze SQL query execution plans and receive plain-English performance recommendations. Supports PostgreSQL and MySQL.MIT
- Query the dbt Semantic Layer to analyze business data by grouping, ordering, and filtering metrics, dimensions, and entities for precise insights.
- Reformat SQL statements with consistent indentation and keyword casing, and retrieve query statistics without connecting to a database.MIT
Matching MCP Servers
- Alicense-qualityAmaintenanceMCP server for the OrionBelt Semantic Layer. Enables LLMs to explore governed semantic models, compile YAML metric definitions into optimized SQL across 8 engines (BigQuery, ClickHouse, Databricks, Dremio, DuckDB, MySQL, PostgreSQL, Snowflake), and execute analytics queries via natural language. Works with Claude, Cursor, Windsurf, and Copilot.Last updated3Apache 2.0
- AlicenseAqualityBmaintenanceA general-purpose MCP server that lets AI work with multiple databases within clear boundaries.Last updated134MIT
Matching MCP Connectors
AI agents publish bounties for real-world tasks. Gasless USDC payments via x402.
Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.
- Execute SELECT SQL queries on Hologres databases using serverless computing resources to handle memory-intensive operations and avoid query memory limitations.Apache 2.0
- Insert data into watsonx.data by executing INSERT SQL queries on a specified engine, with required catalog and schema names.Apache 2.0
- Execute UPDATE SQL queries against watsonx.data tables. Returns query ID, rows updated, execution time, and status.Apache 2.0
- Retrieve metric definitions for a database connection, including name, display name, SQL aggregate, and dimensions. View reusable KPIs configured for your connection.MIT
- Analyze SQL query execution plans with native EXPLAIN output to identify performance issues before running the actual query.Apache 2.0
- Define a business glossary term that maps plain-language phrases to SQL expressions. Teach the semantic layer common business terms for consistent query generation.MIT
- Analyze SQL query execution plans without running the query. Choose from logical, distributed, validate, or io plan types to understand query behavior and optimize performance.Apache 2.0
- Get detailed query analysis with execution statistics for SQL statements in watsonx.data. Supports Presto and Prestissimo engines with optional verbose output.Apache 2.0
- Query SQL log statistics for an RDS instance to analyze cost time, execution times, and account details within a specified time range, returned in CSV format.Apache 2.0
- Analyze SQL or TQL query execution plans to understand performance and optimize queries.MIT
- Analyze SQL query execution plans in Hologres databases to optimize performance and troubleshoot issues.Apache 2.0
- Analyze SQL query performance by retrieving actual execution plans with runtime statistics to identify optimization opportunities.Apache 2.0
- Analyze SQL query execution plans to optimize database performance and identify potential bottlenecks in Adb MySQL databases.Apache 2.0
- Analyze SQL query performance in Hologres by retrieving execution plans with runtime statistics to identify optimization opportunities.Apache 2.0