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Four Leaf

@fourleafai

Job search and interview prep MCP. 11 tools spanning job discovery, role intelligence, practice question generation, resume scoring, comp benchmarks, and negotiation strategy. Cross-LLM via the hosted endpoint with OAuth 2.1.

Overview

What is Four Leaf?

Four Leaf is a job search and interview prep MCP (Model Context Protocol) server that integrates 11 tools into AI clients like Claude, Cursor, ChatGPT, Cline, Continue, Windsurf, and Perplexity. It provides natural-language job search, interview intelligence, resume analysis, compensation coaching, and voice mock interviews.

How to use Four Leaf?

Install via the command claude mcp add four-leaf --transport http https://four-leaf.ai/api/mcp. Client-specific configuration snippets are available at four-leaf.ai/oss. Authentication uses OAuth 2.1 + PKCE + Dynamic Client Registration – the first tool call opens a browser for Four-Leaf account login; no API keys are needed.

Key features of Four Leaf

  • 11 tools including job search, interview prep, and compensation analysis.
  • Natural-language search over 180k+ active job postings.
  • Resume scoring against job descriptions with gap analysis.
  • Curation of interview questions and practice question generation.
  • Live compensation benchmarks grounded in web search with sources.
  • Paid features: voice mock interviews and AI resume tailoring.

Use cases of Four Leaf

  • Searching for jobs using natural-language queries across a large database of active postings.
  • Preparing for interviews by retrieving role-specific intelligence, question banks, and practice questions.
  • Evaluating a resume against a job description with a match score and gap analysis.
  • Analyzing a job offer and receiving a negotiation strategy based on market benchmarks.
  • Starting a voice mock interview or tailoring a resume (paid features).

FAQ from Four Leaf

What tools does Four Leaf provide?

It offers 11 tools: search_jobs, list_roles, get_role_intelligence, get_interview_questions, generate_practice_questions, match_score, explain_interview_format, comp_coach, comp_benchmarks, start_voice_mock_interview (paid), and tailor_resume (paid).

How do I install Four Leaf in my AI client?

Use the command claude mcp add four-leaf --transport http https://four-leaf.ai/api/mcp. For other clients, see the per-client snippets at four-leaf.ai/oss.

What authentication does Four Leaf use?

OAuth 2.1 with PKCE and Dynamic Client Registration. The first tool call opens your browser to authenticate with your Four-Leaf account. No static API keys are required.

Are there paid features in Four Leaf?

Yes, start_voice_mock_interview and tailor_resume are paid features that deep-link into the Four-Leaf platform for rubric-scored feedback and AI resume tailoring respectively.

Is Four Leaf open source?

The Skill wrapper is MIT-licensed and available at github.com/fourleafai/clover-public. An architecture write-up is at four-leaf.ai/blog/job-search-assistant-mcp.

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