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LIN-123 identifier shape, value discarded vs Agent-Native Clips

LIN-123 identifier shape, value discarded and Agent-Native Clips are both productivity MCP servers. Agent-Native Clips scores higher (94 vs 25 out of 100). Agent-Native Clips has more GitHub stars (7.4k), and Agent-Native Clips was updated more recently (4 days ago). The table compares them side by side.

LIN-123 identifier shape, value discardedAgent-Native Clips
Score25 / 10094 / 100
What it doesLIN-123 identifier shape, value discardedScreen recording, meeting notes, and voice dictation - all with AI
PublisherCommunity: sadri-dridiCommunity: BuilderIO
GradesMaintenance A, Licence F, Quality DMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsRemoteRemote
Works withClaude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, Windsurf, ChatGPTClaude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, Windsurf, ChatGPT
GitHub stars07,449
Last commit23 Sept 202619 Oct 2026
LicenceNone foundMIT
Listed since19 Oct 202619 Oct 2026
Install LIN-123 identifier shape, value discardedInstall Agent-Native Clips

Questions

Is LIN-123 identifier shape, value discarded or Agent-Native Clips more popular?

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

Can I use LIN-123 identifier shape, value discarded and Agent-Native Clips together?

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