# Lightdash

> Use this tool when you need to integrate Lightdash with AI systems for automated reporting, data exploration, and analytics-driven decision making. It provides a standardized interface for accessing Lightdash data and analytics capabilities through the Model Context Protocol. Ideal for organizations seeking to enhance their Lightdash workflows with AI-powered insights, it accepts environment variables as input and outputs actionable data and analytics.

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

## Description

This lightdash-mcp-server, developed by Ryo Okubo, provides integration between Lightdash and AI systems using the Model Context Protocol. Built with TypeScript and leveraging the @modelcontextprotocol/sdk, it offers a standardized interface for accessing Lightdash data and analytics capabilities. The server uses environment variables for configuration and includes robust error handling. By abstracting Lightdash functionality into MCP tools, this implementation facilitates use cases such as automated reporting, data exploration, and analytics-driven decision making. It is designed for easy deployment in containerized environments, making it valuable for organizations looking to enhance their Lightdash workflows with AI-powered insights.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/syucream-lightdash)
- **Repository:** <https://github.com/syucream/lightdash-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": "syucream-lightdash"
    }
  }
}
```

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

---
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