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Four-Leaf MCP
Interview prep + job search inside the AI you already use
Four-Leaf is now a Model Context Protocol server. Install it in Claude, Cursor, ChatGPT, Cline, Continue, Windsurf, or Perplexity, and your AI assistant gets 11 job-search and interview-prep tools: search 100k+ active job postings, score your resume against a JD, generate practice questions, get cited salary bands, and run a full negotiation strategy. Two paid surfaces deep-link to four-leaf.ai for voice mock interviews and AI resume tailoring. Open source MIT.
Hey! I built this because every AI interview prep tool today is either trapped in its own app or producing generic hallucination. Once your AI assistant has real tools for job search, practice questions, role intel, and comp analysis, prep gets faster and grounded.
The MCP itself is hosted. The Skill wrapper that calls it is MIT at github.com/fourleafai/clover-public.
Architecture write-up if you're curious: four-leaf.ai/blog/job-search-assistant-mcp. OAuth 2.1 + PKCE + DCR, server-side web search for grounded comp data, single-use stash tables for heavy text handoff.
What sources are you using for the salary data, and does it adapt by city and seniority?
About Four-Leaf MCP on Product Hunt
“Interview prep + job search inside the AI you already use”
Four-Leaf MCP was submitted on Product Hunt and earned 10 upvotes and 3 comments, placing #46 on the daily leaderboard. Four-Leaf is now a Model Context Protocol server. Install it in Claude, Cursor, ChatGPT, Cline, Continue, Windsurf, or Perplexity, and your AI assistant gets 11 job-search and interview-prep tools: search 100k+ active job postings, score your resume against a JD, generate practice questions, get cited salary bands, and run a full negotiation strategy. Two paid surfaces deep-link to four-leaf.ai for voice mock interviews and AI resume tailoring. Open source MIT.
Four-Leaf MCP was featured in Hiring (15.3k followers), GitHub (41.3k followers), Virtual Assistants (16.1k followers) and Career (2.1k followers) on Product Hunt. Together, these topics include over 38.9k products, making this a competitive space to launch in.
Who hunted Four-Leaf MCP?
Four-Leaf MCP was hunted by Frank. 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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Frank
Hey! I built this because every AI interview prep tool today is either trapped in its own app or producing generic hallucination. Once your AI assistant has real tools for job search, practice questions, role intel, and comp analysis, prep gets faster and grounded.
The MCP itself is hosted. The Skill wrapper that calls it is MIT at github.com/fourleafai/clover-public.
Architecture write-up if you're curious: four-leaf.ai/blog/job-search-assistant-mcp. OAuth 2.1 + PKCE + DCR, server-side web search for grounded comp data, single-use stash tables for heavy text handoff.
Happy to answer questions about the build.