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606,394 tools. Updated 2026-09-24 08:04

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

  • Convert natural language descriptions into SQL queries. Specify the target SQL dialect for accurate generation.
    MIT
  • Ask natural-language questions about the ledger and receive free-form answers. Maps plain queries to structured filters for read-only reporting.
    MIT
  • Search Zvec vector stores by converting natural language queries into embeddings and retrieving similar items from a specified collection.
    Apache 2.0
  • 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 Google Maps places using natural-language queries to discover businesses, restaurants, and services. Supports multiple queries, async execution, and enrichments for deeper place data.
    MIT

Matching MCP Servers

  • A
    license
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    quality
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    maintenance
    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT

Matching MCP Connectors

  • 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
  • Run SQL queries with role-based permissions, enforcing read, write, and delete restrictions across PostgreSQL, MySQL, and SQLite databases.
    MIT
  • Search WormBase for genes, proteins, phenotypes, strains, and other biological entities using natural language queries or specific IDs.
    MIT
  • Find Beyond Identity API tools by keyword or natural-language query to discover which actions are available for managing identities, groups, applications, SSO, and credentials.
    Apache 2.0
  • 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
  • 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
  • Retrieve best practices for code patterns and recommendations by searching across all guides or within a specific guide using natural language queries.
    MIT
  • Turn natural-language questions into executed SQL queries against a database, returning results, row counts, and self-correcting errors while exploring the schema.
    MIT