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

A versatile tool that enables querying and exporting data from multiple relational databases (MySQL, PostgreSQL, Oracle, SQLite, etc.) in read-only mode for data safety.

Enables interaction with Snowflake databases through MCP, providing tools to list databases, schemas, tables, describe tables, run read/write queries, create tables, and append insights.

Enables AI assistants to securely connect to Snowflake data warehouses and execute SQL queries through natural language interactions. Supports multiple authentication methods and provides formatted query results with built-in security controls.

Snowflake integration implementing read and (optional) write operations as well as insight tracking

Enables AI agents to connect to Snowflake Data Cloud and Cortex AI for executing SQL, managing warehouses, tables, pipelines, governance, and AI-powered operations through a comprehensive set of enterprise-grade tools.

Enables SQL queries and schema exploration on Snowflake databases via the Model Context Protocol.

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.

Enables read-only interaction with Snowflake databases through SQL queries, schema exploration, and data insight tracking. Provides tools to query data, list databases/schemas/tables, describe table structures, and maintain a memo of discovered insights.

MCP server providing a single query tool to execute SQL against GetDot Database, enabling schema discovery, data loading, and querying via natural language.

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.

Loads CSV files into a temporary SQLite database and provides comprehensive data analysis tools via MCP, enabling AI assistants to query, analyze, and export data using natural language.

Paid remote MCP endpoint for AI SDK data queries, offering structured JSON tools, token-based access, usage receipts, and audit-ready workflow evidence.

MCP server that unifies real-time telemetry from industrial systems into a single queryable interface, enabling production visibility, anomaly detection, and operational insights.

An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.

An MCP server for data reconciliation between MySQL and Snowflake, enabling LLM agents to validate data integrity during migrations and ETL processes.

Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.

A Model Context Protocol server for data wrangling that provides standardized interfaces for data preprocessing, transformation, and analysis tasks including data aggregation and descriptive statistics.

Enables AI assistants to query and interact with Treasure Data through a secure interface, supporting SQL queries, database exploration, CDP segment management, and workflow monitoring across multiple regions.

Provides a read-only MCP interface to locally synchronized Amazon seller data, enabling AI agents and analytics tools to query order, inventory, advertising, and settlement information with completeness and freshness checks for safe analysis.

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.