"Information about Snowflake" matching MCP servers:

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.

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 assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

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

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

Enables interaction with Snowflake databases through SQL queries, schema exploration, and data analysis. Supports read/write operations, table management, and automatic insight tracking for comprehensive database operations through natural language.

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

Allows to retrieve information about an AnnData object via MCP using the read_lazy function from anndata.

Enables searching and retrieving information about anime, manga, and related content via the Bangumi API.

Simple Snowflake MCP Server to work behind a corporate proxy.

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 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.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

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.

A Kubernetes management MCP server that provides interfaces for getting information about Kubernetes clusters, performing operations, monitoring status, and analyzing resources.

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.