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Four Leaf MCP Server

@fourleafai

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

認証方式

oauth

作者

fourleafai

投稿者

Frank

Four Leaf MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Four Leaf MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

このサーバーは認証が必要です。ツールの取得にはログインや提供元の認証情報が必要な場合があります。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

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).

よくある質問

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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