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Vero MCP Server

@kpi-zone

代码仓库

基本信息

分类

其他

许可证

GPL-3.0 license

传输方式

stdio

作者

kpi-zone

关于 Vero MCP Server

暂无概览

#kpis#cubejs#mcp-server

Vero MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "Vero": {
      "command": "docker",
      "args": [
        "compose",
        "--env-file",
        ".env.dev",
        "-f",
        "docker-compose.yaml",
        "up",
        "--build"
      ]
    }
  }
}

Vero MCP Server 工具

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。

概览

What is Vero?

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).

How to use Vero?

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.

Key features of Vero

  • Open-source, vendor-neutral analytics stack
  • Self-hosted with Docker for local or on-prem deployment
  • Modular architecture with replaceable layers
  • Natural language query via MCP server and AI agent
  • Traditional dashboards with Metabase (or alternative BI tools)
  • Sample Contoso Retail dataset included

Use cases of Vero

  • Self-hosted business intelligence without external data exposure
  • Natural language querying of sales and operational data
  • Replacing costly SaaS analytics platforms with an open alternative
  • Enabling data-driven decision-making for non-technical stakeholders

常见问题

1

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.

2

Where does Vero store data?

All data remains on your own servers. The default warehouse is PostgreSQL, and you can replace it with Apache Doris or DuckDB.

3

Does Vero require an external AI API?

Yes, the natural language agent uses GPT or Claude, so an API key for those services may be needed.

4

What transport or authentication does the MCP server use?

This is not specified in the provided README. Refer to the docs/ai-agent/mcp-server.md for details.

5

Can I replace the BI tool?

Yes, the BI layer is optional and can be replaced with Superset, Tableau, or Power BI.

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