Summary
Table search, for schemas too big to list.
Listing every table is useless past a certain size, and that size arrives sooner than people expect. Pattern search and a table count turn discovery into a question rather than a wall of output — which is the difference between an assistant that can work in a large legacy schema and one that cannot.
What it is
Direct MySQL access with a discovery layer on top. Tables can be counted and searched by pattern rather than only listed, which is what makes it usable against a schema too large to read. Notes stored in the database are readable as MCP resources.
What you get
- Every table listed, and the total count
- Tables searched by a LIKE pattern, for finding one among hundreds
- The structure of a specific table
- Arbitrary SQL executed
- Notes created in the database, each with a title and content
- Those notes exposed as resources, addressable individually
Requirements
A running MySQL server and a database with the permissions you intend to use, its host, user, password and database name supplied through the environment. Node.js 18 or newer.