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Teradata MCP Server

Official
by Teradata

base_tableAffinity

Analyze and identify tables frequently used together in Teradata databases to infer relationships, generate SQL queries, and return metadata for better data management and insights.

Instructions

Get tables commonly used together by database users, this is helpful to infer relationships between tables via SQLAlchemy, bind parameters if provided (prepared SQL), and return the fully rendered SQL (with literals) in metadata.

Arguments: database_name - Database name object_name - table or view name

Returns: ResponseType: formatted response with query results + metadata

Input Schema

NameRequiredDescriptionDefault
database_nameYes
obj_nameYes

Input Schema (JSON Schema)

{ "properties": { "database_name": { "title": "Database Name", "type": "string" }, "obj_name": { "title": "Obj Name", "type": "string" } }, "required": [ "database_name", "obj_name" ], "title": "handle_base_tableAffinityArguments", "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Teradata/teradata-mcp-server'

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