What dependencies does Vero require?
Vero runs on Docker and includes PostgreSQL, Cube.js, Agno, Metabase, and an MCP server. It is designed to be self-contained with prebuilt Docker environments.
@kpi-zone
基本情報
概要はまだありません
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": {
"Vero": {
"command": "docker",
"args": [
"compose",
"--env-file",
".env.dev",
"-f",
"docker-compose.yaml",
"up",
"--build"
]
}
}
}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。
Vero is a modern, open-source analytics stack that integrates an MCP (Model Context Protocol) server to enable natural language querying over your data. It is designed for small to mid-sized organizations that want to own their full analytics pipeline, from ingestion to insight, without relying on third-party SaaS platforms. The stack includes data ingestion (Airbyte), a warehouse (PostgreSQL by default), semantic modeling (Cube.js), an AI agent interface (Agno + MCP server), and BI dashboards (Metabase).
Clone the repository, choose the appropriate Docker Compose file (x86_64 or ARM64), set environment variables, and run docker compose up --build. The MCP server is part of the AI Agent layer and is configured as part of the stack.
Vero runs on Docker and includes PostgreSQL, Cube.js, Agno, Metabase, and an MCP server. It is designed to be self-contained with prebuilt Docker environments.
All data remains on your own servers. The default warehouse is PostgreSQL, and you can replace it with Apache Doris or DuckDB.
Yes, the natural language agent uses GPT or Claude, so an API key for those services may be needed.
This is not specified in the provided README. Refer to the docs/ai-agent/mcp-server.md for details.
Yes, the BI layer is optional and can be replaced with Superset, Tableau, or Power BI.

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