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LinkedIn Ads MCP Server vs Power BI Authoring MCP Server (Local)

LinkedIn Ads 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 64 out of 100). Power BI Authoring MCP Server (Local) has more GitHub stars (1.2k), and LinkedIn Ads MCP Server was updated more recently (3 days ago). The table compares them side by side.

LinkedIn Ads MCP ServerPower BI Authoring MCP Server (Local)
Score64 / 10094 / 100
What it doesLinkedIn Ads management and analytics — CRUD, targeting, delivery forecasts, and media uploadsThe Power BI Authoring MCP server lets an AI agent create and change Power BI semantic models.
PublisherCommunity: cesteralVerified: microsoft.com
GradesMaintenance A, Licence A, Quality CMaintenance A, Licence A, Quality A
npm downloads a week257,072
RunsLocal and remoteLocal
Works withClaude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, WindsurfClaude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, Windsurf
GitHub stars81,234
Last commit19 Oct 202629 Sept 2026
LicenceApache-2.0MIT
Listed since19 Oct 202619 Oct 2026
Install LinkedIn Ads MCP ServerInstall Power BI Authoring MCP Server (Local)

Questions

Is LinkedIn Ads 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 LinkedIn Ads 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.