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    3. Clickzetta Server

    Clickzetta Server

    An MCP server bridging to ClickZetta databases for executing SQL queries, exploring schema information, and documenting insights via natural language interaction.

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    About this tool

    Clickzetta Server

    A Model Context Protocol (MCP) server for interacting with ClickZetta Lakehouse databases, enabling SQL query execution, schema exploration, and documentation of data insights via natural language interfaces.

    Features

    • MCP Server Implementation: Acts as a bridge between MCP clients and ClickZetta Lakehouse databases.
    • SQL Query Execution:
      • read_query: Execute read-only SQL queries.
      • write_query: Execute write SQL queries when enabled with --allow-write.
      • create_table: Create tables in the database (requires --allow-write).
    • Schema Exploration:
      • list_tables: List all available tables in the database.
      • describe-table: Get schema details for a specific table.
    • Data Insights Memo: Interact with a memo resource that documents and presents insights from the database.
    • Natural Language Interaction: Designed for use with tools like Claude Desktop, allowing users to ask questions in natural language and receive insights or query results.
    • Stdio Communication: Runs as a local server and communicates with MCP clients over standard input/output.
    • Credential Management: Requires configuration of ClickZetta Lakehouse credentials via a .env file.
    • Integration: Can be integrated with Claude Desktop and potentially other MCP-compatible clients.
    • Installation Methods:
      • Via direct package installation (tested on MacOS).
      • Planned/experimental support for installation via Smithery and UVX.

    Pricing

    No pricing information is provided; the source code is available as an open source project.

    Source

    Clickzetta Server on GitHub

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    Information

    Websitegithub.com
    PublishedMay 14, 2025

    Categories

    1 Item
    Database & Messaging Mcp Servers

    Tags

    4 Items
    #mcp
    #database
    #sql
    #natural-language

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