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

Enables read-only Snowflake database queries through MCP, allowing safe SELECT, SHOW, DESCRIBE, WITH, and EXPLAIN operations via natural language tools with lazy connection setup.

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.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

A Model Context Protocol server that connects to Snowflake databases and executes SQL queries. It provides tools to list databases, schemas, tables, describe tables, execute read-only queries, sample data, analyze table statistics, profile semi-structured columns, and search columns.

Enables Claude to interact with a Snowflake account through four tools: schema inspection, read-only queries, data/object execution (DML, DDL, COPY INTO, GRANT), and query log reads, with stdio transport and local macOS operation.

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.

Provides read-only visibility into Snowflake warehouse cost and query performance, including credit usage by warehouse, expensive queries, and heuristic right-sizing recommendations.

Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.

A local MCP server for secure database querying from Claude Code, with Apple Keychain credential storage, permission-based access control, and audit logging.

MCP server for querying and analyzing TensorBoard event files, enabling AI agents to extract scalar data, statistics, and correlations without a running TensorBoard server.

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.

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

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 executing SQL queries against Salesforce Data Cloud from Cursor, with tools to list tables and describe table structure.

Enables interaction with Snowflake through Cortex AI services including search, analyst, and agents for querying structured and unstructured data, plus SQL execution and object management capabilities.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

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

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.