mcp-dashboards

★ 52

lightdash_mcp

★ 24

mcp-dashboards vs lightdash_mcp

Q: Which is better, mcp-dashboards or lightdash_mcp?

By GitHub stars, mcp-dashboards has more community adoption, but the best choice depends on your specific use case.

mcp-dashboards: MCP Dashboards is an MCP server that provides 31 chart tools, 44+ subtypes, 21 themes, live polling, and export to PNG/PPT/A4. It renders interactive HTML charts directly inside AI conversations, enabling instant data visualization without context switching.; lightdash_mcp: 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.

TL;DR

mcp-dashboardsVision / Multimodal · ★ 52

Create interactive sales dashboards in Claude with KPIs and trend charts

Read mcp-dashboards full review →

lightdash_mcpVision / Multimodal · ★ 24

Integrate AI coding assistants (Claude, Cursor) with Lightdash for natural language data analysis

Read lightdash_mcp full review →

Side-by-Side Comparison

Field

mcp-dashboards

lightdash_mcp

Features

mcp-dashboards

01Interactive HTML charts with tooltips, click-to-select, drill-down, and scroll-zoom

0231 chart tools covering 44+ subtypes (bar, line, pie, radar, live, etc.)

0321 built-in themes for styling (boardroom, corporate, black-tron, etc.)

04Live polling from any HTTP API with real-time auto-updates

05Export to PNG, PPT (16:9 slides), A4 (paginated), and CSV

lightdash_mcp

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

Use Cases

mcp-dashboards

↳Create interactive sales dashboards in Claude with KPIs and trend charts

↳Monitor cryptocurrency prices live with auto-refreshing charts

↳Visualize survey results or financial reports directly in AI conversation

lightdash_mcp

↳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

FAQ

What is the difference between mcp-dashboards and lightdash_mcp?

Both mcp-dashboards and lightdash_mcp are in the Vision / Multimodal category. mcp-dashboards has 52 stars, while lightdash_mcp has 24 stars.

Which is better, mcp-dashboards or lightdash_mcp?

The best choice depends on your use case. Choose mcp-dashboards if Create interactive sales dashboards in Claude with KPIs and trend charts, and lightdash_mcp if Integrate AI coding assistants (Claude, Cursor) with Lightdash for natural language data analysis.

Is mcp-dashboards free or open source?

Yes, mcp-dashboards is open source on GitHub (NOASSERTION).

Is lightdash_mcp free or open source?

Yes, lightdash_mcp is open source on GitHub (MIT).

Cloud Infrastructure

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Alternatives to mcp-dashboards →Alternatives to lightdash_mcp →mcp-dashboards details →lightdash_mcp details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

FAQ

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