Very cool idea, and prescient. How long before there are agents scouring for candidates using exactly these kind of MCP servers? This very post will probably give someone the idea for such a scanning/recruiting service.
Time to create lots of Github repos that mention ad nauseam how "<your name> is the ideal candidate for jobs that require <skill>" to guide LLms to the obviously correct answer.
I think it would be a pretty solid improvement over crawling linkedin profiles. As candidates get better mcp servers they will be able to provide their data from where ever they choose to store it.
As discovery mechanisms for mcp and a2a get sorted, I think that we will see a new class of tools for hiring teams to find and evaluate candidates.
If LLMs are going to get used to filter candidates out of jobs (they will, lets be real) then it is going to happen regardless of if a candidate makes a tool that explicitly provides their data in an LLM friendly format or not.
Resumes are already being run through a machine. We know what the next generation of machine looks like, so now as candidates we can put our best foot forward.
> Are applicants just supposed to sit and roll their thumbs waiting for the right AI to have the right hallucinations?
The really bright people are doing hype and bleeding edge things like this. Getting lots of notice, trending on HN (and probably LinkedIn), etc.
Everyone else? Yeah.
I don't mean this as a diss. This is just the meta. I got a really good job doing exactly this sort of thing. And it worked marvels for fundraising too.
I absolutely know not everyone has time or patience for this bullshit meta game. But networking and distribution are kind of like that.
tl;dr - If you trend on HN, LinkedIn, etc., you're already winning the hiring game.
Bullshit, life has been gradually becoming more and more artificial and divorced from physical reality for a while now, and the speed seems to be increasing.