Analyze SQL query performance with native EXPLAIN output to understand query plans and prevent excessive data scans.
Apache 2.0
166,494 tools. Last updated 2026-05-31 23:01
"Semantic layer for SQL query execution with dimensions and measures" matching MCP tools:
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Matching MCP Connectors
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Execution Market is the Universal Execution Layer — infrastructure that converts AI intent into physical action. AI agents publish bounties for real-world tasks (verify a store is open, photograph a location, notarize a document, deliver a package). Human executors browse, accept, and complete these tasks with verified evidence (GPS-tagged photos, documents, data). Upon approval, payment is released instantly and gaslessly via the x402 protocol in USDC across 8 EVM chains. Key cap
- Retrieve metric definitions for a database connection, including name, display name, SQL aggregate, and dimensions. View reusable KPIs configured for your connection.MIT
- Execute UPDATE SQL queries against watsonx.data tables. Returns query ID, rows updated, execution time, and status.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
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- Create strip plots from SQL queries on CSV or Parquet data sources to visualize relationships between variables with optional color coding for additional dimensions.MIT
- Analyze SQL query performance by retrieving actual execution plans with runtime statistics to identify optimization opportunities.Apache 2.0
- Analyze SQL query execution plans in Hologres databases to optimize performance and troubleshoot issues.Apache 2.0
- Analyze SQL query execution plans to optimize database performance and identify potential bottlenecks in Adb MySQL databases.Apache 2.0
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- Explains a SQL query against YDB by generating an execution plan, helping you understand and optimize query performance without executing it.Apache 2.0
- Generate and validate any SQL query (SELECT, INSERT, UPDATE, DELETE) without execution. Review table references, improvement hints, and execution readiness for safe manual verification.MIT
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