Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Universal SQLAlchemy-based database integration supporting PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server and many more databases. Features schema and relationship inspection, and large dataset analysis capabilities.
A Model Context Protocol (MCP) server for GreptimeDB
Quality signal
55/100 (Good)
40/100 (Fair)
Install path
pip · high
npx · high
Engagement
4 0 0 414
3 0 0 29
Tools
Supports PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server, CrateDB, Vertica, and other SQL…Schema and relationship inspection toolsConnection pooling optimized for long-running MCP serversConfigurable via environment variables including DB_URL and engine optionsHandles large datasets using local file caching integrationProvides API tools to list and filter table names
Execute SQL, TQL (PromQL-compatible), and RANGE queriesDescribe table schema, metadata, and sample rowsAnalyze query plans with runtime and partition metricsManage pipelines: list, create, dry-run, and deleteManage dashboards: list, create/update, and deleteSecurity features: read-only mode, data masking, audit logging
