Execute natural language queries on BlazeSQL databases by specifying the database ID and query request for quick, intuitive data retrieval and analysis.
Transform natural language questions into SQL queries with AI, enabling users to interact with Snowflake databases efficiently. Simplify data querying by converting user input into structured database commands.
Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.
This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.
Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.