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456,944 tools. Updated 2026-08-14 06:31

"How to query data from a Snowflake database" matching MCP tools:

  • Retrieve column names and data types for data lake tables to understand table structure and write optimized queries in Snowflake.
    Python
    Apache 2.0
  • 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
  • Delete a Snowflake tag from ALTR after removing all associated policies. For Databricks, use delete_policy instead.
    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

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  • Connect a new data source to ALTR with keypair or password authentication. Supports Snowflake, Databricks, and OLTP databases.
    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
  • Run database-native EXPLAIN on a SQL query to inspect the query plan, revealing whether it will scan excessive data before executing the real query.
    Apache 2.0
  • 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
  • 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
  • Execute SQL on Snowflake through the omni-dev daemon, returning result sets as YAML. Supports multi-statement scripts and optional per-query warehouse, role, database, and schema.
    BSD 3-Clause
  • 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