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Ipynb MCP Server vs Agent-Native Analytics

Ipynb MCP Server and Agent-Native Analytics are both data and analytics MCP servers. Agent-Native Analytics scores higher (94 vs 73 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.

Ipynb MCP ServerAgent-Native Analytics
Score73 / 10094 / 100
What it doesMCP server (stdio) for AI agents to safely read, edit and run local Jupyter notebooks — zero service, CAS-guarded edits, resumable execution.Agent-Native Amplitude/Mixpanel - connect data sources, prompt for charts
PublisherVerified: npm:ipynb-mcp-serverCommunity: BuilderIO
GradesMaintenance A, Licence A, Quality CMaintenance A, Licence A, Quality A
npm downloads a week85Not 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 stars27,449
Last commit16 Oct 202619 Oct 2026
LicenceMITMIT
Listed since20 Oct 202619 Oct 2026
Install Ipynb MCP ServerInstall Agent-Native Analytics

Questions

Is Ipynb MCP Server or Agent-Native Analytics more popular?

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

Can I use Ipynb MCP Server 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.