How do I connect to Snowflake?
Use a Programmatic Access Token (PAT) set as the environment variable `SNOWFLAKE_PAT`.
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基本情報
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.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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