clickhouse-mcp
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- FlicenseNot gradedqualityCmaintenanceMinimal MCP server for read-only access to ClickHouse, enabling AI agents to explore schemas and execute SELECT queries safely.-
- FlicenseAqualityCmaintenanceRead-only MCP server for ClickHouse that allows listing databases and tables, describing schemas, and running SELECT queries.4-

Altinity MCPofficial
FlicenseNot gradedqualityAmaintenanceProduction-ready MCP server designed to empower AI agents and LLMs to interact seamlessly with ClickHouse. It exposes your ClickHouse database as a set of standardized tools and resources that adhere to the MCP protocol, making it easy for agents built on OpenAI, Claude, or other platforms to query, explore, and analyse your data.37-- FlicenseNot gradedqualityFmaintenanceA read-only MCP server that enables AI agents to explore database schemas and execute safe queries on PostgreSQL and MySQL.-
- AlicenseAqualityBmaintenanceA read-only MCP server for ClickHouse that enables metadata discovery, parameterized SELECT queries, SHOW introspection, query analysis, and snapshot mode for large result sets, with profile-based configuration and strict no-DML/DDL enforcement.8MIT
- AlicenseAqualityAmaintenanceA read-only MCP server for exploratory data analysis across PostgreSQL, MySQL, and ClickHouse databases, providing safe, read-only access with comprehensive analysis capabilities.1070 PyPI6MIT
TDQS
Scored across 6 tools
Each tool targets a distinct operation: listing databases, listing tables, sampling rows, describing columns, showing the CREATE statement, and running arbitrary queries. While describe_table and show_create_table both expose schema information, their purposes are clearly separated by level of detail and use case. No two tools are likely to be confused.
The tool names mostly follow a consistent verb_noun pattern (list_databases, list_tables, describe_table, show_create_table, sample_rows). The exception is 'query', which is a single verb, but it is a reasonable outlier given its generic nature. Overall, the naming is predictable and easy to navigate.
Six tools is an ideal size for a ClickHouse exploration server, covering all essential read-only operations without unnecessary bloat. Each tool has a clear purpose and none feel redundant. The count is well-scoped for the server's stated goal of investigating telemetry data.
The tool set provides full coverage for the core workflows: discovering databases and tables, understanding table schemas via describe and CREATE statements, sampling data, and running arbitrary queries for deeper analysis. There are no obvious gaps for a read-only data exploration server; any additional needs can be fulfilled through the query tool.