mingyu vs dbhub
mingyu: Mingyu is a divination and fortune-telling chart generation tool focused on Chinese traditional systems. It covers bazi (four pillars), ziwei doushu, Western astrology, liuyao hexagrams, meihua yishu, qimen dunjia, liuren, tarot, lenormand, and date selection. Each reading produces structured data plus a formatted prompt ready for any AI model to interpret. Accessible via web, public API, MCP server, or agent skill.; dbhub: DBHub is a zero-dependency, token-efficient Model Context Protocol (MCP) server that acts as a lightweight gateway. It enables MCP-compatible clients to securely connect to and manage various databases like PostgreSQL, MySQL, and SQLite through a unified interface with built-in safety controls.
TL;DR
Generating a bazi or ziwei chart and handing the structured output to an LLM for interpretation
- You want one MCP server for several engines: PostgreSQL, MySQL, SQL Server, MariaDB and SQLite.
- You care about token use: the README describes a small tool surface of execute_sql, search_objects and custom tools.
- You want to expose only reviewed, parameterised SQL by defining custom tools in dbhub.toml.
- You need MongoDB, Redis or another non-SQL store; only the five engines above are supported.
- You want to give the model free-form SQL on production data with a powerful account; execute_sql runs whatever SQL it is given.
- You need Google Cloud or Azure specific features such as IAM authentication.
Side-by-Side Comparison
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