Sql Schema Bridge FAQs

Question 1

Can I use Sql Schema Bridge for multiple database environments or projects?

Accepted Answer

Yes, Sql Schema Bridge supports profiles, allowing you to define and switch between different database schema configurations. This is ideal for managing multiple projects (e.g., development, testing, production) by setting the `DB_PROFILE` environment variable.

Question 2

How does Sql Schema Bridge help AI agents generate SQL?

Accepted Answer

AI agents interact with the server by calling tools like `find_table`, `find_column`, and `find_relations`. The server retrieves the necessary schema metadata from local CSV files, allowing the AI agent to understand the database structure and construct a precise SQL query.

Question 3

What is Sql Schema Bridge?

Accepted Answer

Sql Schema Bridge is an MCP (Model-Context-Protocol) server that provides AI agents with precise database schema information, enabling them to accurately translate natural language questions into SQL queries.

Question 4

How is database schema information managed?

Accepted Answer

Schema information (tables, columns, relations) is managed locally through simple CSV files (`tables.csv`, `columns.csv`, `relations.csv`) stored in user-defined profile directories on your machine.

Question 5

What kind of schema information can AI agents query and edit?

Accepted Answer

AI agents can query comprehensive schema details including table definitions, column properties (data types, descriptions), and relationships between tables. The server also provides tools to edit schema, such as adding or deleting tables, columns, and relations, by writing to the CSV files.

Sql Schema Bridge

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