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Running queries in Apache Superset

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  • Why this server?

    This server is a direct implementation for accessing Apache Superset databases, allowing users to execute queries and retrieve information from the data visualization platform.

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    A Model Context Protocol server that enables large language models to interact with Apache Superset databases through REST API, supporting database queries, table lookups, field information retrieval, and SQL execution.
    Last updated
    4
    5

  • Why this server?

    Designed to enable LLMs to interact with database systems, supporting dynamic schema discovery and direct query execution across various SQL backends, which is central to running Superset queries.

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    A flexible Model Context Protocol server that enables LLMs to interact with database systems, supporting dynamic schema discovery and query execution across PostgreSQL and SQLite backends.
    Last updated
    2
    MIT

  • Why this server?

    A specialized NL2SQL plugin focused on transforming natural language commands into queries for execution, a common method for interacting with database tools like Superset.

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    A NL2SQL plugin based on FocusSearch keyword parsing, offering greater accuracy, higher speed, and more reliability!
    Last updated
    39
    Apache 2.0

  • Why this server?

    A general database server supporting multiple relational database types (SQL Server, MySQL, PostgreSQL) and explicitly providing tools for executing queries.

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    Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.
    Last updated

  • Why this server?

    Enables secure interaction and query execution across multiple SQL database engines, which is the underlying requirement for running queries within a BI tool environment.

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    Enables secure interaction with multiple SQL database engines (MySQL, PostgreSQL, SQLite, SQL Server) through a standardized interface. Supports schema inspection, safe query execution, and controlled write operations with built-in security restrictions.
    Last updated
    5
    MIT

  • Why this server?

    Enables secure interaction with SQL Server databases through natural language queries, providing the necessary capability to execute data retrieval commands.

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    Enables secure interaction with SQL Server databases through natural language queries in Cursor IDE, with individual user credentials for complete traceability and auditing of all database operations.
    Last updated

  • Why this server?

    Integrates with Metabase (a BI tool similar to Superset) and PostgreSQL, enabling the creation of SQL queries and accessing database systems through natural language.

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    Enables AI-powered interaction with Metabase instances and PostgreSQL databases through natural language. Creates models, SQL queries, metrics, and dashboards using both Metabase API and direct database connections.
    Last updated
    21
    43
    Apache 2.0

  • Why this server?

    A high-performance implementation designed to revolutionize how AI agents interact with databases, supporting query execution against common backends like MySQL and PostgreSQL.

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    The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.
    Last updated
    390
    MIT