lightdash_mcp
Active·★ 19·MIT·Updated 2026-03-30
★ Trending★ Vision / Multimodal★ Data Processing
mcp server for lightdash
Lightdash MCP Server allows AI assistants to interact with Lightdash analytics via the Model Context Protocol. It enables data discovery, chart creation, dashboard management, and ad-hoc querying programmatically. The server is installable via pip and integrates with Claude Desktop, Cursor, and other MCP clients.
#analytics#business-intelligence#claude#data-visualization#lightdash#llm#mcp#mcp-server
01
Features
01Data discovery: explore catalogs, find tables, and understand schemas
02Advanced querying with full filter, metric, and aggregation support
03Full chart lifecycle management (CRUD) with complex visualizations
04Comprehensive dashboard management with tiles, filters, and layouts
05Resource organization via spaces for content management
02
Compatibility
Python
Python 3.10+
Verified via docs
Claude Desktop
Claude Desktop
Verified via docs
Cursor
Cursor
Verified via docs
Other MCP Clients
MCP-compatible clients
Verified via docs
03
Quick start
1
$ pip install lightdash-mcp
04
Use cases
↳Integrate AI coding assistants (Claude, Cursor) with Lightdash for natural language data analysis
↳Automate chart and dashboard creation based on user queries or AI recommendations
↳Enable ad-hoc metric querying and data exploration through conversational interfaces
05
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Comments
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- RRiley ZhangMay 12, 2026
Good for Lightdash users who want AI to help navigate dashboards and metrics.
- PParker BrownMay 8, 2026
Lightdash BI platform accessible via MCP for AI-assisted data analysis.
- RRobin KimApr 24, 2026
Natural language queries over Lightdash data is a useful productivity improvement.
- AAspen DavisMar 17, 2026
Works with standard Lightdash deployments via the API.