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743,385 tools. Updated 2026-11-04 19:54

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

  • Retrieve sample rows from a database table to quickly understand its data structure and content, enabling better query planning and schema exploration.
    MIT
  • Lists tables and views visible to a database profile's login, including schema, type, row counts, size, and read access, so you can pick a table before describing its schema or querying.
    Apache 2.0
  • Save SQL for reuse without executing it. Omit id to create a query; name, sql, and database are required. Visibility defaults to private. Supply id to update an existing query, with at least one of name, sql, database, or visibility.
    MIT
    Destructive
  • Retrieve the complete JSON schema for video generation to understand all configuration options, constraints, and examples before creating valid video configurations.
    MIT
  • Describe database table columns, primary key, foreign keys, and indexes by querying the live catalog. Use before writing SQL joins or dashboard queries to verify column names and types.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI models to interact with MySQL databases through MCP protocol, supporting queries, table schema inspection, and data manipulation operations.
    29 npm
    MIT
  • A
    license
    A
    quality
    D
    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

  • Search across screen, voice, and clipboard entries to find content semantically related to any query. Returns a unified ranked list with source tags for open-ended recall spanning multiple data types.
    AGPL 3.0
  • Report a user request that no existing Hydrata tool can fulfill, after checking available tools, so the team can assess the missing capability.
    MIT
  • Connect a data source, pick a table, file, or endpoint, and get a reusable dataset_id for later queries.
    Apache 2.0
  • Apply tracked schema changes (DDL) like CREATE TABLE or ALTER TABLE to a database. Migrations are idempotent, so running the same name multiple times is safe.
    MIT
  • Find tables by observability concept when the exact table name is unknown. Searches table names and semantic metadata, ranking matches to identify which table holds a metric like 'Redis memory usage'.
    MIT
  • Permanently deletes a RawTree table and all its data. Requires admin key and user confirmation; cannot be undone.
    MIT
    Destructive
  • Retrieve the complete JSON schema for image generation jobs. Understand all available options, constraints, and examples to create valid configurations.
    MIT
  • Retrieve counts, labels, edge types, and schema of your graph database to understand its state before writing queries or after mutations.
    Apache 2.0
  • Create a scheduled SQL workflow. Requires name and query (database and sql). Defaults: schedule={ cron: "* * * * * *", enabled: true }, sinks=[].
    MIT
    Destructive