What data platforms does Kyomi support?
Kyomi connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.
@kyomi-ai
基本情報
Kyomi MCP Server — query your data warehouse from Claude Code, Cursor, and any MCP client
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": {
"kyomi": {
"type": "http",
"url": "https://app.kyomi.ai/mcp"
}
}
}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。
このサーバーは認証が必要です。ツールの取得にはログインや提供元の認証情報が必要な場合があります。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
Kyomi is an MCP server that enables AI assistants to query your data warehouse, access dashboards, automated monitoring, and accumulated business knowledge. It integrates with Claude Code, Cursor, and any MCP-compatible client.
Install via Claude Code with claude mcp add kyomi --transport http https://app.kyomi.ai/mcp, or connect via Cursor settings. Manual configuration is also possible. Restart the client and authorize in your browser on first use.
Kyomi connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.
Browser-based OAuth is used; tokens refresh automatically. Workspace isolation and your existing Kyomi credentials apply.
No. Kyomi queries your warehouse directly and never copies or stores your data. A 20-row preview limit is enforced for AI queries.
Yes, Kyomi Connect (open-source, Apache 2.0) can be deployed inside your network so database credentials never leave your infrastructure.
For Cursor: `~/.cursor/mcp.json`; for Claude Code: `~/.claude/claude_desktop_config.json`.
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