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Jellyfish MCP Server vs Power BI Authoring MCP Server (Local)

Jellyfish MCP Server and Power BI Authoring MCP Server (Local) are both data and analytics MCP servers. Power BI Authoring MCP Server (Local) scores higher (94 vs 73 out of 100). Power BI Authoring MCP Server (Local) has more GitHub stars (1.2k), and Power BI Authoring MCP Server (Local) was updated more recently (24 days ago). The table compares them side by side.

Jellyfish MCP ServerPower BI Authoring MCP Server (Local)
Score73 / 10094 / 100
What it doesConnect to your Jellyfish Software Engineering Intelligence platform for comprehensive team insights, effort allocation, and delivery metrics.The Power BI Authoring MCP server lets an AI agent create and change Power BI semantic models.
PublisherVerified: npm:jellyfish-mcp-serverVerified: microsoft.com
GradesMaintenance B, Licence A, Quality CMaintenance A, Licence A, Quality A
npm downloads a week3267,072
RunsLocalLocal
Works withClaude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, WindsurfClaude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, Windsurf
GitHub stars191,234
Last commit27 Aug 202629 Sept 2026
LicenceMITMIT
Listed since20 Oct 202619 Oct 2026
Install Jellyfish MCP ServerInstall Power BI Authoring MCP Server (Local)

Questions

Is Jellyfish MCP Server or Power BI Authoring MCP Server (Local) more popular?

Power BI Authoring MCP Server (Local) has more GitHub stars: 1,234.

Can I use Jellyfish MCP Server and Power BI Authoring MCP Server (Local) together?

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