"Information about Snowflake Data Warehouses" matching MCP servers:

Enables AI agents to execute SQL queries and explore Snowflake databases using natural language, with schema discovery, table inspection, and readonly mode.

Enables LLMs to directly query and interact with Snowflake databases, supporting SELECT queries, schema exploration, and table operations.

A Model Context Protocol server that enables Claude to execute SQL queries on Snowflake databases with automatic connection lifecycle management.

A Model Context Protocol server that provides access to Snowflake databases for any MCP-compatible client, allowing execution of SQL queries with automatic connection management.

Enables AI assistants to securely access Snowflake data warehouses through natural language, executing SQL queries and retrieving insights with support for multiple authentication methods.

A Snowflake MCP server — SQL queries, schema exploration, and data insights for AI assistants

Enables execution of Snowflake stored procedures through the MCP server by providing a framework to define, manage, and call procedures from specific schemas or individual procedures.

Enables AI assistants to perform comprehensive Snowflake database operations including DDL, DML, and warehouse management. It allows users to query data, manage database objects, and configure permissions using natural language commands.

Enables read-only querying of Snowflake databases through Claude, supporting multiple authentication methods and SQL operations like SELECT, SHOW, DESCRIBE.

Provides secure, read-only access to Snowflake databases through the Model Context Protocol. It allows users to query data while strictly prohibiting destructive SQL commands like INSERT, UPDATE, or DELETE.

Provides secure, read-only access to Snowflake data warehouses, enabling AI assistants to explore schemas, write queries, and analyze data with SSO authentication and smart caching.

An MCP server for Snowflake that enables table discovery, metadata inspection, and SQL query execution through natural language, supporting password, key-pair, and OAuth authentication.

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.

Simple Snowflake MCP Server to work behind a corporate proxy.

An MCP server with 66+ tools for data engineering, enabling AI assistants to interact with Kafka, databases, AWS, data pipelines, infrastructure, and more.

Generates and deploys Cloudera Data Engineering (CDE) Airflow jobs from ODCS data contracts, validating live table data in CDW against schema and data-quality rules without WAP staging.

Provides a modular MCP server to integrate with IBM Data Intelligence services, enabling secure interaction with data intelligence capabilities via tools and skills.

Provides secure integration between MCP clients and IBM Data Intelligence services, enabling AI assistants to interact with IBM's data intelligence capabilities for data management and analytics operations.

A governed MCP server enabling LLM agents to query BigQuery, inspect GCS, trigger Airflow DAGs, and run data-quality checks with built-in security guardrails like allow-lists, cost ceilings, and audit trails.

Enables natural language querying of Snowflake-managed Iceberg tables via Horizon IRC and DuckDB, without using a Snowflake warehouse.