MCP Server for Snowflake including Cortex AI, object management, SQL orchestration, semantic view consumption, and more
概览
Please migrate to the official Snowflake MCP Server. The official server is actively developed, fully supported by Snowflake, and continues to add new features. This community MCP server previously provided tooling for Snowflake Cortex AI, object management, and SQL orchestration. It is no longer supported. For all new and existing use cases, please use the official Snowflake MCP Server instead. Legacy documentation (for reference only) The MCP server supported the below capabilities: - : Query unstructured data in Snowflake as commonly used in Retrieval Augmented Generation (RAG) applications. - : Query structured data in Snowflake via rich semantic modeling. - : Agentic orchestrator across structured and unstructured data retrieval - : Perform basic operations against Snowflake's most common objects such as creation, dropping, updating, and more. - : Run LLM-generated SQL managed by user-configured permissions.
README
[DEPRECATED] Snowflake Cortex AI Model Context Protocol (MCP) Server
[!CAUTION] This project is deprecated and no longer maintained. Please migrate to the official Snowflake MCP Server. The official server is actively developed, fully supported by Snowflake, and continues to add new features.
This community MCP server previously provided tooling for Snowflake Cortex AI, object management, and SQL orchestration. It is no longer supported. For all new and existing use cases, please use the official Snowflake MCP Server instead.
安装
uvx snowflake-labs-mcp --service-config-file <path_to_file>/tools_config.yaml --connection-name default配置
{
"mcpServers": {
"mcp-server-snowflake": {
"command": "uvx",
"args": [
"snowflake-labs-mcp",
"--service-config-file",
"<path_to_file>/tools_config.yaml",
"--connection-name",
"default"
]
}
}
}