Retrieve complete details for a Snowflake connected tag by its group ID, including masking configuration, status, database info, and timestamps.
GPL 3.0
650,500 tools. Updated 2026-10-13 19:29
"How to query data from a Snowflake database" matching MCP tools:
- Creates an empty masking policy for a tag to control how tagged data is masked. Supports Snowflake and Databricks with platform-specific tag handling.GPL 3.0
- Register a Snowflake tag in ALTR to enable its use in masking policies and tag management.GPL 3.0
- Search Snowflake query audits using filters like tags, columns, users, and roles to find tag-based or column-based masking events. Returns a search identifier for retrieving results later.GPL 3.0
- Retrieve the numeric ALTR database ID for a database name, required to initiate classification jobs.GPL 3.0
- Connect a new data source to ALTR with keypair or password authentication. Supports Snowflake, Databricks, and OLTP databases.GPL 3.0
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Push rows from a dataset, file or Google Sheet into a Postgres, Supabase, Neon or MySQL table.
Snowflake id shape
- Retrieve column names and data types for data lake tables to understand table structure and write optimized queries in Snowflake.PythonApache 2.0
- Remove a tag mask from a Snowflake column using database, schema, and tag name instead of a tag group ID.GPL 3.0Destructive
- Retrieve Snowflake service user IDs required for keypair authentication when creating database connections.GPL 3.0
- Retrieve full masking configuration, status, and timestamps for a specific Snowflake tag using database, schema, and tag name. Use when you know the exact tag but not the tag group ID.GPL 3.0
- List Snowflake databases connected to ALTR and retrieve their IDs for classification jobs.GPL 3.0
- Create a data source for loading data from object storage (S3, GCS, Azure Blob), data warehouses (Snowflake, BigQuery, PostgreSQL), Iceberg, or Kafka. Provide name, type, and type-specific config keys.Apache 2.0
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- Estimate SQL query cost before execution to avoid overspending. Provides precision-tiered dollar estimates for BigQuery, Snowflake, and Databricks, enabling informed decisions on expensive queries.MIT
- Execute a read-only SQL query via a Preset database connection to verify query functionality before dataset creation. Supports SELECT, SHOW, DESCRIBE, and EXPLAIN statements.MIT
- Explore Snowflake table hierarchies using pattern-based filtering. Filter by database, schema, or table patterns to locate relevant tables and understand the data landscape.MIT
- Execute SQL queries on data product output ports to retrieve business data while enforcing governance policies and access controls, with support for Snowflake and Databricks.MIT
- Set up a database connection with verification and automatic model ingestion. Supports Postgres, MySQL, SQLite, BigQuery, and Snowflake.MIT
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- Configure a new database source in the configuration file, including optional connection testing. Supports SQL Server and Snowflake via linked server.GPL 3.0
- Retrieve comprehensive details for a specific Snowflake query, including warehouse size, elapsed time, bytes scanned, rows produced, and error messages, using its QUERY_ID.MIT