lightdash_mcp
Active·★ 24·MIT·Updated 2026-07-01
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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