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Vero MCP Server

@kpi-zone

Repository

Basic information

Category

Other

License

GPL-3.0 license

Transports

stdio

Author

kpi-zone

About Vero MCP Server

No overview available yet

#kpis#cubejs#mcp-server

Vero MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Vero MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

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