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Four Leaf MCP Server

@fourleafai

Repository

Basic information

Category

Other

Transports

stdio

Auth

oauth

Author

fourleafai

Submitted by

Frank

About Four Leaf MCP Server

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.

#job-search#interview-prep#career#oauth#hosted

Four Leaf MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "four-leaf": {
      "url": "https://four-leaf.ai/api/mcp"
    }
  }
}

Four Leaf MCP Server tools

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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).

Frequently asked questions

1

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).

2

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](https://four-leaf.ai/oss).

3

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.

4

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.

5

Is Four Leaf open source?

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

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