metaverse-mcp 0.1.1

AI-powered Metabase interface via MCP

Metaverse

AI-powered interface for Metabase — query your data, build dashboards, and set up alerts using natural language.

Skills

Use these Claude Code slash commands from any project connected to Metaverse:

Skill	Description	Example
/metaask	Ask a data question, get a table back	"How many customers do we have in the US?"
/metaquery	Build and save a custom query	"Show me the latest orders by customer #100"
/metaboard	Build a dashboard from a description	"Monthly overview of Gift Card sales"
/metametric	Create or explore a reusable named metric	"Create a Total Revenue metric on orders"
/metalert	Set up a metric alert	"Notify me when any provider has more than 10 refunds in an hour"

What it solves

• Extracting data from databases without writing SQL manually
• Building dashboards and alerts without navigating the Metabase UI
• Exploring data structures and relationships through conversation
• Spotting patterns and anomalies by just asking

Integrations

Works wherever Claude agents run:

• Claude Code — local CLI (primary target)
• Claude Desktop — local app via ngrok tunnel
• Claude in Slack — team-wide data questions (planned)
• Claude in GitHub — data questions in issues and PRs (planned)

How it works

An MCP server exposes Metabase as a set of tools Claude can call — browsing databases and tables, running SQL queries, creating saved questions, assembling dashboards, and managing alerts. Claude handles the natural language layer; Metabase handles the data layer.

Stack

• Python + FastMCP — MCP server (HTTP transport)
• Metabase OSS + Postgres — data layer, both run locally via Docker
• Justfile — task runner for starting services, seeding data, and config

Agent integration

Claude Code

Add to .mcp.json in your project root:

{
  "mcpServers": {
    "metaverse": {
      "type": "http",
      "url": "http://localhost:8000/mcp"
    }
  }
}

Run just up to start the stack, then open Claude Code. The slash commands (/metaask, /metaquery, /metaboard, /metalert) and all MCP tools are available immediately.

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "metaverse": {
      "command": "uvx",
      "args": ["--from", "metaverse-mcp", "metaverse"],
      "env": {
        "METABASE_URL": "https://your-metabase.example.com",
        "METABASE_API_KEY": "mb_xxxx"
      }
    }
  }
}

Restart Claude Desktop. The metaask, metaquery, metaboard, and metalert prompts appear in the UI — no slash commands needed.

Local Metabase only? Claude Desktop requires HTTPS even for localhost. Run ngrok http 3000 and use the tunnel URL as METABASE_URL.

Any MCP-compatible agent

Point the agent at the running HTTP server:

http://localhost:8000/mcp

The server exposes 14 tools and 3 schema resources (metaverse://schema, metaverse://database/{id}, metaverse://table/{id}) that any MCP client can discover and use.

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Getting started

See HOWTO.md for full setup instructions.

just up       # start Postgres + Metabase + MCP server
just setup    # first-run: create admin account + API key
claude        # open Claude Code — skills and MCP tools are ready