# Lightdash

> Use this tool when you need to interact with data models and metrics in a governed and secure manner. It enables AI assistants to browse and understand data, execute queries, and switch between projects while respecting existing access controls. Ideal for use cases where data insights and querying are required, with inputs of project and query specifications and outputs of relevant metrics and data visualizations.

Canonical page: https://skillsregistry.net/skills/lightdash  
JSON: https://api.skillsregistry.net/v1/skills/lightdash

## Description

Enables AI assistants to interact directly with Lightdash data. Browse and understand data models, find relevant metrics and dimensions, switch between projects, and execute queries while respecting existing data governance and access controls.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lightdash)

## 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": "lightdash"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lightdash` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lightdash/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