How do I connect to Snowflake?
Use a Programmatic Access Token (PAT) set as the environment variable `SNOWFLAKE_PAT`.
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基本信息
This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP Client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Cortex Agent AI": {
"command": "ABSOLUTE_PATH\\nodejs\\npx.cmd",
"args": [
"tsx",
"--watch",
"--env-file",
"ABSOLUTE_PATH\\snowflake-cortex-mcp\\.env",
"ABSOLUTE_PATH\\snowflake-cortex-mcp\\src\\mcp\\MCP.ts"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol server that provides tooling for Snowflake Cortex AI features, enabling queries on structured and unstructured data via MCP clients. It supports Cortex Search, Cortex Analyst, and Cortex Agent.
Run yarn dev to start the server. Configure connection using environment variables, including SNOWFLAKE_PAT for Programmatic Access Token. Integrate with an MCP client (e.g., Claude Desktop, VS Code + Copilot) by adding the server to the client’s configuration file.
Use a Programmatic Access Token (PAT) set as the environment variable `SNOWFLAKE_PAT`.
The MCP server is meant to be used with an MCP client as orchestrator. See the MCP Introduction for details.
All tools are managed services available via REST API. No separate remote deployment is required; the MCP client starts the server locally.
Programmatic Access Tokens do not evaluate secondary roles. Create a PAT with a single role that has access to all required services, or select “any role” when creating the token.
You can add multiple instances of both services. The MCP client will determine which ones to use based on the user’s prompt.
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