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AI Applyd MCP
Your job search inside Claude, with verified auto-apply
A remote MCP server that puts ten job-hunt tools inside Claude, Cursor, and ChatGPT: ATS resume scoring, job-description analysis, interview prep, cover letters, job search, and auto-apply. The auto_apply tool runs a pipeline that verifies each submission actually registered on the employer's hiring system and returns an honest errors count. One URL, OAuth 2.1, sign in with Google once. Resume scoring and job analysis never consume AI credits.
hey, founder here.
i built AI Applyd because my own job search was 47 applications for 3 callbacks, and i wanted the boring parts automated without lying to myself about what actually got submitted. this launch is the MCP server: the same tools, callable from inside Claude, Cursor, or ChatGPT connectors.
what it is: a remote MCP server (no install, it runs on Cloudflare Workers). you add one URL, sign in with google once, and ten tools show up in your assistant: ats resume scoring, job description analysis, interview prep, resume optimization, translation, job search, cover letters, pdf builds, and auto_apply.
the tool i actually care about is auto_apply. it kicks off a pipeline that fills and submits the application on the employer's real hiring system, then independently verifies the submission registered. it returns processed, applied, pending, and errors counts. the errors column is the point: most tools end the story at "submitted." ours checks, and tells you when it didn't land.
the honest parts, so nobody is surprised:
- nothing runs anonymously. every tool needs a free google sign-in. resume scoring and job analysis never consume ai credits, so a free account is genuinely enough to judge the quality.
- auto_apply, cover letters, and pdf builds need a paid plan (from $19.49 a week). they spend real compute on real browser sessions.
- no interview guarantees. nobody honest can promise those.
setup is one command in claude code: claude mcp add --transport http ai-applyd https://mcp.aiapplyd.com/mcp, or add the URL as a custom connector in claude, chatgpt, or cursor.
i'm a solo founder building this in public. if you connect it and something breaks, tell me here, i read everything today.
The honest errors count is a really nice touch, that alone would make me trust this over the usual "we applied to 300 jobs" black box. One thing I'd love: let me set per-application guardrails like minimum salary, max commute, or visa sponsorship required, and have auto-apply skip anything that doesn't match before the ATS submission happens. Saves me from having to babysit the pipeline.
one honest note, a few hours in, because it is the thing most likely to trip someone up.
auto_apply is a kickoff, not a synchronous call. it starts the run and hands back counts while the verification finishes in a pipeline behind it. so if you call it and read the numbers straight away, you are reading an early state, not a final one. the dashboard settles a minute or two later. i have not found a good way to say "still settling" inside a tool result that assistants render sensibly, and if anyone here has solved that, i want to hear it.
the two tools that cost nothing are the ones worth trying first. score a resume against a real posting, or ask what a job description is actually asking for. neither spends ai credits, so you can judge whether the output is any good before deciding anything.
and the errors count is not decoration. applications do fail, and it will tell you when one did.
About AI Applyd MCP on Product Hunt
“Your job search inside Claude, with verified auto-apply”
AI Applyd MCP was submitted on Product Hunt and earned 5 upvotes and 4 comments, placing #126 on the daily leaderboard. A remote MCP server that puts ten job-hunt tools inside Claude, Cursor, and ChatGPT: ATS resume scoring, job-description analysis, interview prep, cover letters, job search, and auto-apply. The auto_apply tool runs a pipeline that verifies each submission actually registered on the employer's hiring system and returns an honest errors count. One URL, OAuth 2.1, sign in with Google once. Resume scoring and job analysis never consume AI credits.
AI Applyd MCP was featured in Developer Tools (516.9k followers), Artificial Intelligence (475.2k followers) and Career (2.2k followers) on Product Hunt. Together, these topics include over 196.2k products, making this a competitive space to launch in.
Who hunted AI Applyd MCP?
AI Applyd MCP was hunted by Ava Bagherzadeh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Ava Bagherzadeh