Provides a semantic intelligence layer for SQL Server databases, enabling AI agents to understand schema structure, relationships, and safely interact through policy-gated tools.
Exposes a SQL Server database schema to AI assistants, enabling discovery of tables, views, stored procedures, functions, indexes, and foreign keys through MCP tools.
Enables AI agents to execute SQL queries and explore Snowflake databases using natural language, with schema discovery, table inspection, and readonly mode.
Enables AI agents to understand and query your database safely by providing a semantic layer of metadata, with tools to search, explain, validate, and generate safe SQL.
Exposes SQL Server stored procedures as tools for LLM clients (Claude Desktop, VS Code, Cursor, etc.) enabling direct database interaction through natural language.
Enables extraction and querying of database schema metadata from PostgreSQL, Snowflake, SQL Server, BigQuery, and Oracle databases, saving results locally for analysis.