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clickhouse

by donald-ada
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JavaScript
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Alternatives to clickhouse

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    Related Servers

    • ClickHouse MCP Server

      Ilya1991
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables executing SQL queries, listing databases, and listing tables on a ClickHouse cluster through natural language.
      Apache 2.0

    • clickhouse-mcp-server

      sepfazeli
      A
      license
      A
      quality
      D
      maintenance
      Provides AI agents safe, read-only access to a ClickHouse database, enabling table listing, query execution, schema inspection, and caching.
      6
      58 npm
      6
      MIT
    • hq-demo by hypequery

      hq-demoofficial

      hypequery
      F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to interact with ClickHouse analytics through a semantic layer, exposing datasets and metrics for natural-language querying.
      -

    • aiQueryLab MCP Server

      gr4c2-2000
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI to execute SQL queries against MySQL and ClickHouse connections, retrieve and manage results, and inject them into the aiQueryLab VSCode IDE.
      Apache 2.0
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.3/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool serves a distinct purpose: list_databases and list_tables handle exploration, describe_table provides schema details, query is for read-only SELECTs, and execute handles DDL/DML. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    All tool names use consistent snake_case with a clear verb-noun pattern (list_*, describe_*, query, execute). The naming is uniform and predictable.

    Tool Count5/5

    Five tools is well-scoped for a database server covering exploration, schema inspection, and data manipulation. Each tool is necessary and there is no bloat.

    Completeness5/5

    The tool surface covers the essential lifecycle of a ClickHouse database: listing databases and tables, inspecting schema, running SELECT queries, and executing all DDL/DML statements. No critical operations appear missing.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources