397,243 tools. Last updated 2026-08-05 15:42
"Semantic layer for SQL query execution with dimensions and measures" matching MCP tools:
- Query the dbt Semantic Layer to analyze business data by grouping, ordering, and filtering metrics, dimensions, and entities for precise insights.Apache 2.0
- 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
- Create a named, saved query in a Peaka project to store SQL for later execution. Returns the query ID needed to run it.MIT
- Execute UPDATE SQL queries against watsonx.data tables. Returns query ID, rows updated, execution time, and status.Apache 2.0
- Analyze SQL query execution plans using the database's native EXPLAIN mode to identify performance issues before running the actual query.Apache 2.0
Matching MCP Servers
- AlicenseAqualityCmaintenanceA general-purpose MCP server that lets AI work with multiple databases within clear boundaries.Last updated136MIT
- Alicense-qualityCmaintenanceAn MCP server providing SQLite database access for AI agents, enabling SQL execution, schema inspection, CRUD operations, and data export.Last updatedMIT
Matching MCP Connectors
AI agents publish bounties for real-world tasks. Gasless USDC payments via x402.
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
- Generate schema-aware query suggestions with ready-to-run SQL to help explore unfamiliar databases and find useful queries.MIT
- Execute read-only SQL SELECT queries against Oracle databases to retrieve data, column names, and execution metrics for analysis.AGPL 3.0
- Analyze SQL query execution plans and receive plain-English performance recommendations. Supports PostgreSQL and MySQL.MIT
- Improve SQL query performance by analyzing execution issues and providing rewritten queries, explanations, and index recommendations.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 query execution plans in Hologres databases to optimize performance and troubleshoot issues.Apache 2.0
- Analyze SQL query performance in Hologres by retrieving 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 by retrieving actual execution plans with runtime statistics to identify optimization opportunities.Apache 2.0
- Explains a SQL query against YDB by generating an execution plan, helping you understand and optimize query performance without executing it.Apache 2.0
- Explains parameterized SQL queries against YDB by providing the SQL and parameters, returning the execution plan.Apache 2.0
- Analyze execution plans for SQL or TQL queries to understand query performance and optimize database operations.MIT