"How to query data in Snowflake" matching MCP servers:

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 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.

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

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

Provides AI assistants with tools to query, filter, and analyze JIRA issues stored in Snowflake, enabling natural language interaction with issue data.

MCP server for snowflake that doesn't allow write operations under any circumstances, and includes a system prompt.

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.

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

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.

Enables natural language queries against Snowflake Gold-layer tables through Claude Desktop, allowing users to ask business questions in plain English without SQL knowledge.

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 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 Claude Desktop to interact with Snowflake databases through natural-language SQL queries. Built in Python, it allows secure local integration between LLMs and enterprise data systems for database operations and analysis.

Enables searching the NIAID Data Ecosystem for biomedical research resources including datasets, clinical studies, and publications using Elasticsearch queries.

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.

Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.

MCP server to query UK higher-education open data including National Student Survey results, student outcomes, and graduate earnings. Data is downloaded locally from official sources and compared against benchmarks.

IP Geolocation MCP server using IP2Location.io API to ease the query of geolocation information.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.