# Metabase

> Use this tool when you need to access business intelligence data through conversational interfaces, enabling natural language interactions with Metabase analytics platforms to retrieve dashboards, execute queries, and run custom SQL queries. It solves problems of data accessibility and analysis by providing a bridge between AI assistants and Metabase, delivering structured JSON responses. Ideal for teams seeking to analyze their Metabase data through voice or text-based interactions.

Canonical page: https://skillsregistry.net/skills/hyeongjun-dev-metabase  
JSON: https://api.skillsregistry.net/v1/skills/hyeongjun-dev-metabase

## Description

Metabase MCP Server provides a bridge between AI assistants and Metabase analytics platforms, enabling conversational access to business intelligence data. Developed by Hyeongjun Yu, this TypeScript implementation exposes six tools that allow assistants to list dashboards, cards, and databases, execute saved questions with parameters, extract dashboard components, and run custom SQL queries. The server supports both session-based and API key authentication methods, delivers structured JSON responses, and includes comprehensive error handling and logging capabilities, making it particularly valuable for teams that want to analyze their Metabase data through natural language interactions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hyeongjun-dev-metabase)
- **Repository:** <https://github.com/hyeongjun-dev/metabase-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hyeongjun-dev-metabase"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hyeongjun-dev-metabase` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hyeongjun-dev-metabase/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt