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Teradata MCP Server

base_tablePreview

Preview data samples and table structure from Teradata databases to understand schema and content before analysis or querying.

Instructions

This function returns data sample and inferred structure from a database table or view via SQLAlchemy, bind parameters if provided (prepared SQL), and return the fully rendered SQL (with literals) in metadata.

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

Returns: ResponseType: formatted response with query results + metadata

Input Schema

NameRequiredDescriptionDefault
database_nameNo
table_nameYes

Input Schema (JSON Schema)

{ "properties": { "database_name": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Database Name" }, "table_name": { "title": "Table Name", "type": "string" } }, "required": [ "table_name" ], "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/blitzstermayank/MCP'

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