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306,442 tools. Last updated 2026-07-26 23:57

"A tool or method for converting natural language to SQL queries in MySQL" matching MCP tools:

  • Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.
    MIT
  • Search a loaded QA spec for conditions matching a natural-language query. Returns condition details including name, category, and required datasets.
    MIT
  • Search Zvec vector stores by converting natural language queries into embeddings and retrieving similar items from a specified collection.
    Apache 2.0
  • Find relevant content across namespaces using natural language queries or vector similarity. Filter results by metadata or keywords for precise discovery.
    Apache 2.0

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  • Execute read-only SQL queries against PostgreSQL, MySQL, or SQL Server. Automatically adapts syntax to the target dialect. Returns results with connection and dialect metadata. Default limit 100 rows.
    MIT
  • Reveals tables that co-occur in SQL queries, exposing natural JOIN relationships and data affinity patterns. Use to find related tables or common workflows.
    MIT
  • Search WormBase for genes, proteins, phenotypes, strains, and other biological entities using natural language queries or specific IDs.
    MIT
  • Execute SQL queries in a ClickHouse database, with read-only mode by default and configurable write or destructive access.
    Apache 2.0
  • Analyze SQL query execution plans and receive plain-English performance recommendations. Supports PostgreSQL and MySQL.
    MIT
  • Query a knowledge graph for relationships and facts using natural language, entity, or relation type. Supports temporal queries and configurable graph depth.
    MIT
  • Run SQL queries to analyze, modify, or troubleshoot Heroku PostgreSQL databases. Execute commands or file-based queries with credential management for direct database access.
    Apache 2.0
  • Converts natural language questions into SELECT SQL queries for specified databases, enabling intuitive data retrieval without manual query writing.
    Apache 2.0
  • Process natural language queries to obtain structured data on leads, contacts, and opportunities. Supports table, natural, or combined response formats.
    MIT
  • Converts natural language queries into multi-step SQL analysis plans and executes them against databases to answer complex analytical questions.
    MIT
  • Search for LPM packages using natural language or structured filters. Find packages by category, ecosystem, distribution, license, and more.
    ISC
  • Execute SQL queries in Adb MySQL Cluster to retrieve data, update records, or perform database operations through the MCP server interface.
    Apache 2.0