clickhouse-mcp-server
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- AlicenseAqualityDmaintenanceEnables AI assistants to query and manage ClickHouse databases, supporting SELECT queries, DDL/DML statements, and metadata listing.51 npmMIT
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mcp-clickhouseofficial
AlicenseAqualityAmaintenanceClickHouse database integration with schema inspection and query capabilities3899Apache 2.0- AlicenseAqualityDmaintenanceA read-only MCP server for ClickHouse that enables AI agents to discover schema, sample data, and run read-only SQL queries to investigate observability data like logs, metrics, and traces.63 npmMIT
- AlicenseAqualityAmaintenanceEnables AI agents to inspect database schemas and run strictly read-only SQL queries with guardrails against destructive statements, multi-statement chaining, and unbounded scans. Supports SQLite natively and PostgreSQL optionally.4MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to securely discover database schemas and execute read-only SQL queries through guardrailed tools that block mutations and clamp result sizes.MIT
TDQS
Scored across 6 tools
Each tool has a clear, distinct purpose: run_query for arbitrary SQL, aggregate for time-windowed aggregation, describe_table/list_tables for schema/table info, and cache_stats/clear_cache for cache management. No overlap or ambiguity.
All tool names follow a consistent snake_case verb_noun (or action_noun) pattern: 'list_tables', 'describe_table', 'run_query', 'clear_cache', 'aggregate', 'cache_stats'. No mixed conventions.
Six tools cover the core functionality of querying, schema exploration, and cache management without excess. The count is well-scoped for a read-only ClickHouse interface.
The tool set provides everything needed for querying and exploring a ClickHouse database: listing tables, describing schemas, running arbitrary read-only queries, a convenience aggregation function, and cache management. No obvious gaps for its intended use.