
Four Leaf
@fourleafai
Four Leaf 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.
基本情報
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"
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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).
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.
「その他」の他のコンテンツ
Reactive Resume
amruthpillaiA one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
ICSS
chokcoco不止于 CSS
🚀 Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
AutoBrowser MCP
autobrowser-aiBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Nginx UI
0xJackyYet another WebUI for Nginx
コメント