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DimensionPostgreSQL MCP ServerRead-only DB access for safe analysisMCP ClickHouseConnect ClickHouse to your AI assistantsMCP Toolbox for DatabasesGoogle's official database MCP toolbox — define AI-accessible database tools via config
FMRS68 / 100 · C79 / 100 · B74 / 100 · B
Reliability15 / 2012 / 2013 / 20
Security and permissions16 / 2018 / 2013 / 20
Maintenance10 / 2017 / 2017 / 20
Documentation14 / 2017 / 2016 / 20
Setup experience13 / 2015 / 2015 / 20
Best for
  • Analysts and developers exploring PostgreSQL data through natural language
  • Teams exposing schema and query access through a dedicated read-only account
  • Teams already using ClickHouse who want AI assistants to access data directly.
  • Scenarios requiring fast, read-only data queries and schema exploration.
  • Teams that want precise control over which database operations an AI can perform, rather than open arbitrary SQL execution
  • Scenarios needing a unified MCP setup across multiple database engines
Not for
  • Workflows that require writes, migrations, or database administration
  • Sensitive databases whose query results cannot enter a third-party model context
  • Scenarios requiring write access to the database without explicit opt-in.
  • Production environments with stringent security requirements that avoid default permission settings.
  • Lightweight cases that just want to run a few ad-hoc SQL queries without maintaining a tools.yaml config (a simpler single-database MCP may be a better fit)
Required permissions
  • Network access to PostgreSQL
  • A dedicated read-only account with SELECT access to the intended schemas
  • Requires read-only access to ClickHouse database (default).
  • Optional: write access via CLICKHOUSE_ALLOW_WRITE_ACCESS.
  • Optional: destructive operations via CLICKHOUSE_ALLOW_DROP.
  • Database credentials (username/password/connection string) are supplied via env vars or config
  • A tool's actual permission is whatever SQL statement is defined in tools.yaml — designed for least privilege, but misconfiguration can still over-expose access
Risks and side effects
  • Query results may contain personal or business-sensitive data
  • Complex read queries can still consume significant resources; use timeouts and a read replica
  • If write access is enabled, AI might make unintended modifications.
  • If DROP access is enabled, data deletion could occur accidentally.
  • Credentials may be exposed via environment variables.
  • If tools.yaml defines SQL statements that allow unconstrained writes or deletes, the AI could accidentally modify data
  • The prebuilt toolsets (--prebuilt) favor convenience and may expose broader query capability than a specific business actually needs — use a custom tools.yaml in production
Supported clientsClaude Desktop, Cursor, ClineClaude DesktopClaude Code, Gemini CLI, Zed, Antigravity
Tools440