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skforecast-ai vs Agent-Native Analytics

skforecast-ai and Agent-Native Analytics are both data and analytics MCP servers. Agent-Native Analytics scores higher (94 vs 75 out of 100). Agent-Native Analytics has more GitHub stars (7.4k), and Agent-Native Analytics was updated more recently (2 days ago). The table compares them side by side.

skforecast-aiAgent-Native Analytics
Score75 / 10094 / 100
What it doesForecast time series in CSV files: deterministic skforecast workflows and the script that ran.Agent-Native Amplitude/Mixpanel - connect data sources, prompt for charts
PublisherCommunity: skforecastCommunity: BuilderIO
GradesMaintenance A, Licence A, Quality BMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsLocalRemote
Works withClaude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, WindsurfClaude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, Windsurf, ChatGPT
GitHub stars517,449
Last commit19 Oct 202619 Oct 2026
LicenceApache-2.0MIT
Listed since19 Oct 202619 Oct 2026
Install skforecast-aiInstall Agent-Native Analytics

Questions

Is skforecast-ai or Agent-Native Analytics more popular?

Agent-Native Analytics has more GitHub stars: 7,449.

Can I use skforecast-ai and Agent-Native Analytics together?

Yes. AI assistants can load several MCP servers at once. Install both and the assistant picks the right one for each task.