Retrieve a list of available Snowflake Data Warehouses to manage resources efficiently using the Simple Snowflake MCP Server.
MIT
427,703 tools. Updated 2026-08-09 22:24
"Snowflake" matching MCP tools:
- Run SQL queries on Snowflake and retrieve results directly through the Simple Snowflake MCP Server, designed to operate behind corporate proxies.MIT
- Lists all databases accessible in Snowflake to help identify available data sources for querying and exploration.MIT
- Verify Snowflake connectivity and retrieve connection information. Ensures your database connection is active before running queries.MIT
- Retrieves a list of all databases accessible in your Snowflake account.GPL 3.0
- Retrieve a list of all databases available in your Snowflake environment.MIT
Matching MCP Servers
- FlicenseAqualityDmaintenanceEnables LLMs to directly query and interact with Snowflake databases, supporting SELECT queries, schema exploration, and table operations.52
- AlicenseAqualityDmaintenanceEnables AI agents to execute SQL queries and explore Snowflake databases using natural language, with schema discovery, table inspection, and readonly mode.11877MIT
Matching MCP Connectors
- mcp-serverOAuth
Query BigQuery, Snowflake, Redshift & Azure Synapse with natural language
AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.
- Retrieve all available databases in Snowflake to explore and manage database structures for efficient data operations and analysis.GPL 3.0
- Execute SQL queries against Snowflake and retrieve results as a table, JSON, or CSV.MIT
- Retrieve a comprehensive list of all accessible Snowflake databases to streamline database management and access control behind a corporate proxy.MIT
- Run SELECT queries on Snowflake to retrieve data directly from your database.
- Execute SQL queries on Panther's security data lake to analyze logs, investigate threats, and perform security monitoring with required time filters for optimal performance.PythonApache 2.0
- Retrieve column names and data types for data lake tables to understand table structure and write optimized queries in Snowflake.PythonApache 2.0
- Retrieve complete details for a Snowflake connected tag by its group ID, including masking configuration, status, database info, and timestamps.GPL 3.0
- 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
- List Snowflake tags connected to ALTR that are available for use in policies.GPL 3.0
- Caches a complete snapshot of all workspace nodes to disk for offline access and bulk analysis.MIT
- Preview DDL changes from `coa create` offline without warehouse access. Validate SQL generation and detect errors in node templates before running.MIT
- Delete a Snowflake tag from ALTR after removing all associated policies. For Databricks, use delete_policy instead.GPL 3.0
- Preview the DML that coa run would execute without hitting the warehouse. Run offline against local project files to validate SQL templates before deployment.MIT
- Initiates a new Coalesce refresh run using Snowflake credentials. Specify environment, workspace, job, node selectors, or confirm run of all nodes to start execution.MIT