Retrieve column-level metadata for Teradata tables and views, including data types, character sets, precision, and scale. Supports pagination for large databases using time and payload budgets.
A server providing tools for querying and analyzing Teradata databases, including database management, data quality assessment, and SQL execution capabilities through an MCP interface.
Enables secure interaction with Teradata databases through SQL queries, schema exploration, and business intelligence analysis with enterprise-grade OAuth 2.1 authentication and workload management capabilities.
Execute a complete RAG workflow to answer questions using retrieved context documents. Handles embedding, semantic search, and answer generation with direct quotes.
Detect circular dependencies in a dependency graph using DFS after partitioning into weakly connected components. Validates graph integrity and identifies objects forming circular references.
Extract actual SQL queries and performance metrics from selected clusters to analyze patterns, identify anti-patterns, and optimize workload performance.
Retrieves SQL statements executed by a specified user within a given number of days. Supports filtering by username and time range, with optional persistence as a volatile table.
Execute SQL queries on Teradata databases with bind parameter support, optional result persistence as tables, and configurable row limits up to 50,000.