TrackTogether - The habit tracker your AI assistant can actually use

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Most trackers make you open another app to log anything. TrackTogether is an MCP native tracker: connect Claude, ChatGPT or any MCP client and tell it what you did. It reads and updates your trackers directly and you can share trackers and nudge friends. Remote MCP server with OAuth 2.0. Built solo.

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I know what you're thinking: the job search tracker space is completely saturated. But the real friction isn't the tracking it's the context switching. Since most of us already live inside Claude or ChatGPT all day to review resumes, debug code, and do mock interviews etc, I realized the tracker should live there too. To solve this, I built a remote Model Context Protocol (MCP) server with native OAuth. Now, instead of opening a separate app, I just tell my AI assistant directly to log a solved problem, update an interview stage, or pull up my pipeline. Would love any feedback on the concept, especially from anyone else building MCP integrations. If anyone is wrestling with setting up remote auth flows over MCP, I’m happy to talk through how I structured mine!