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260,856 tools. Last updated 2026-07-05 08:54

"A tool that can connect to MySQL database, understand table structure and query related data" matching MCP tools:

  • Retrieve column names, data types, primary keys, and foreign keys for a database table to understand its structure before writing queries.
    Apache 2.0
  • Get row count, data size, and index size for MySQL tables. Filter by database or table, output as markdown or JSON.
    MIT
  • Retrieve column names and data types for data lake tables to understand table structure and write optimized queries in Snowflake.
    Python
    Apache 2.0
  • Retrieve all available tables within a specified Panther Database to understand data structure and log types for security monitoring queries.
    Python
    Apache 2.0

Matching MCP Servers

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    A Model Context Protocol server that provides read-only MySQL database queries for AI assistants, allowing them to execute queries, explore database structures, and investigate data directly from AI-powered tools.
    Last updated
    3
    41
    13
    MIT
  • A
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    Enables AI models to interact with MySQL databases through MCP protocol, supporting queries, table schema inspection, and data manipulation operations.
    Last updated
    4
    MIT

Matching MCP Connectors

  • DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.

  • Governed personal world model and memory for your AI agent. Pair once, connect over MCP.

  • Retrieve column definitions for a MySQL table, including field, type, nullability, key, default, and extra info. Supports markdown or JSON output.
    MIT
  • List all tables in a MySQL database. Optionally specify the database and choose response format: Markdown or JSON.
    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
  • Establish database connections for PostgreSQL, MySQL, or SQLite to enable querying, schema management, and migration operations within the Berth MCP server.
    MIT
  • Retrieve the JSON schema of all fields in a specified database to provide AI models with the expected data structure for accurate processing and analysis.
    TypeScript
    MIT
  • Retrieve comprehensive schema details of a specified table, including column names, data types, and comments, using the Doris MCP Server. Specify the table name and optionally the database name for targeted metadata extraction.
    Apache 2.0
  • Retrieve a list of all table names within a specified database using this tool, defaulting to the current database if none is provided. Simplifies database metadata management and query preparation.
    Apache 2.0
  • Analyze Cloudflare D1 database schema structure, tables, columns, indexes, and relationships to understand database design and optionally include sample data for context.
    MIT
  • Extract PDF metadata, page count, and table of contents to understand document structure before reading content.
    MIT
  • Retrieve column definitions and foreign key relationships for a specified table to understand its structure before writing queries.
    MIT
  • Find Go structs that map to a database table by searching struct tags like `db` or `gorm`. Requires running `gograph build` first.
    MIT