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649,985 tools. Updated 2026-10-11 06:35

"Semantic layer for SQL query execution with dimensions and measures" matching MCP tools:

  • query_metricsA

    dbt-mcpB

    Query the dbt Semantic Layer to analyze business data by grouping, ordering, and filtering metrics, dimensions, and entities for precise insights.
    Apache 2.0

  • run_queryA

    io.github.S-CurveLabs/sqlglassA

    Run a read-only SQL query and return the first rows, using inline SQL or a saved library query. Refuses non-SELECT/WITH statements for safe database access.
    MIT

  • peaka_create_queryA

    peaka-mcp-serverA

    Create a named, saved SQL query in a Peaka project and get its ID for later execution. Specify project, display name, and Trino SQL body, with optional scheduling for materialized queries.
    MIT

  • explain_queryA

    ThinAir DataA

    Analyze SQL query execution plans and receive plain-English performance recommendations. Supports PostgreSQL and MySQL.
    MIT

  • optimize_queryA

    ThinAir DataA

    Improve SQL query performance by analyzing execution issues and providing rewritten queries, explanations, and index recommendations.
    MIT

Matching MCP Servers

  • mcp-sql-query

    AMEOBIUS-space
    A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server providing SQLite database access for AI agents, enabling SQL execution, schema inspection, CRUD operations, and data export.
    MIT

Matching MCP Connectors

  • Execution MarketOAuth

    AI agents publish bounties for real-world tasks. Gasless USDC payments via x402.

  • execution-market-mcpOAuth

    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

  • explain_queryA

    IBM watsonx.data MCP ServerB

    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

  • suggest_modelB

    Semantic Rails MCP ServerB

    Proposes keys, times, dimensions, measures, and foreign keys for a relation, providing confidences, reasons, and draft upsert_model arguments. Read-only.
    Apache 2.0

  • get_query_planC

    Adb MySQL MCP ServerB

    Analyze SQL query execution plans to optimize database performance and identify potential bottlenecks in Adb MySQL databases.
    Apache 2.0

  • ydb_explain_queryC

    YDB MCPB

    Get a query execution plan for a SQL statement against YDB to analyze and optimize query performance.
    Apache 2.0

  • queryA

    SLayerA

    Get data from a semantic model by describing the dimensions, measures, filters, and time buckets you need; the query compiles into SQL and returns the result rows.
    MIT

  • scan_sql_queryA

    Shrike Security MCP ServerA

    Scan SQL queries for injection, destructive operations, and PII extraction before execution. Blocks unsafe queries; allows safe ones. Use for LLM-generated or user-input SQL.
    Apache 2.0

  • get_query_planA

    fabric-dw-mcp-cliB

    Get an estimated SQL execution plan without running the query. Choose XML, tree, JSON, or Mermaid output to analyze query performance and costs.
    MIT

  • inspect_modelA

    SLayerA

    Inspect a semantic model's structure to review its columns, measures, joins, samples, and SQL, clarifying how it can be queried.
    MIT