lightdash_mcp and metabase-mcp
About lightdash_mcp
poddubnyoleg/lightdash_mcp
mcp server for lightdash
Implements comprehensive analytics automation through MCP, enabling AI assistants to discover Lightdash schemas, execute queries, and manage charts/dashboards programmatically. Supports multiple authentication schemes including Google Cloud IAP and Cloudflare Access, with tools for data discovery, visualization creation, dashboard composition, and space organization. Built on Python 3.10+ with automatic tool discovery via a modular architecture that integrates seamlessly with Claude, Cursor, and other MCP-compatible clients.
About metabase-mcp
hluaguo/metabase-mcp
Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly interact with your analytics data, this server acts as a bridge between your analytics platform and conversational AI.
Implements a FastMCP server compatible with multiple transport protocols (STDIO, SSE, HTTP), supporting both SQL and MongoDB query execution with native parameter templating and aggregation pipeline support. Built on modern Python 3.12+ with context-aware logging middleware and proper error handling, it integrates directly with Claude Desktop, Cursor IDE, and any MCP-compliant client through environment-based API key or session authentication.
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