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Careerproof MCP Server

@dontellu77

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

dontellu77

投稿者

Admin

Careerproof MCP Server について

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, co

#career#hiring#recruitment#cv#resume#hr#talent-acquisition#workforce-intelligence#org-design#compensation#salary#benchmarking#skills-assessment#competency-analysis#interview-prep#candidate-evaluation#workforce-planning#rag#deep-research#job-description#talent-strategy#succession-planning#dei#employer-branding#learning-development#sourcing-strategy#skill-taxonomy#role-evolution#custom-eval#career-intelligence#market-intelligence#pdf-reports#oauth

Careerproof 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": {
    "careerproof": {
      "url": "https://mcp.careerproof.ai/mcp"
    }
  }
}

Careerproof 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。

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 Careerproof?

Careerproof is an AI-powered career and workforce intelligence platform for professionals and organizations. It integrates with Claude Code and Gemini CLI via an MCP server, providing 42 tools and 6 slash-command skills for tasks like CV optimization, candidate evaluation, salary benchmarking, and workforce planning. The platform is powered by a curated RAG knowledge base from 50+ premium sources and live web research via Tavily.

How to use Careerproof?

Install the plugin in Claude Code using two commands: /plugin marketplace add dontellu77/careerproof-claude-skills then /plugin install careerproof-skills@careerproof. For Gemini CLI, install skills via a shell script and connect the MCP server with a bearer token. After authentication (OAuth for Claude Code, API key for others), invoke skills by name, e.g., /atlas-onboard or /ceevee-optimize, or use MCP tools directly in conversation.

Key features of Careerproof

  • 42 MCP tools covering the full Careerproof API
  • 6 guided slash-command skills (Atlas and CeeVee workflows)
  • Automatic OAuth authentication – no API keys to manage
  • Dual mode: personal career intelligence (CeeVee) and workforce intelligence (Atlas)
  • Intelligence engine: expert-curated RAG from 50+ premium sources + live web research via Tavily
  • Analysis calibrated to CV/candidate context (role, seniority, industry, skills)

Use cases of Careerproof

  • A professional optimizes their CV positioning and gets data-backed career advice using CeeVee skills
  • An HR leader batch evaluates candidates against a job description with competency scoring
  • A talent acquisition team generates a salary benchmarking report for a senior role in London
  • An org design consultant produces a research-grade workforce report without expensive consulting
  • A career coach uses the career intelligence chat with live web research to advise clients

よくある質問

1

What does Careerproof do that generic AI assistants cannot?

Careerproof grounds its analysis in a curated RAG knowledge base from 50+ premium sources (HBR, McKinsey, BCG, Gartner, etc.) and live web research via Tavily, rather than stale training data. Its intelligence is calibrated to actual experience when a CV is provided, and it offers structured, research-backed outputs for both individual career decisions and organizational workforce strategy.

2

How do I authenticate with Careerproof?

In Claude Code, OAuth is built in – on first use, a browser window opens for you to log in, and tokens are managed automatically. For Gemini CLI or programmatic access, you configure a bearer token (a `cpk_...` API key) in the MCP server configuration. Get your API key at careerproof.ai.

3

What are the requirements to use Careerproof?

You need an active CareerProof account with available credits, plus either Claude Code or Gemini CLI. You can sign up at careerproof.ai.

4

How much do the skills cost in credits?

Skill costs are listed in the README: `atlas-shortlist` 8–13 credits per candidate, `atlas-deep-eval` ~26 credits, `atlas-report` 15 credits, `ceevee-optimize` 10–13 credits, `ceevee-career-intel` 2 credits per message. The `atlas-onboard` skill is free.

5

Can I use the MCP tools without the slash-command skills?

Yes. When the MCP server is connected, you get direct access to all 42 tools in the conversation. For example, you can say "Upload this CV and run a competency analysis" and the model will use the appropriate tools.

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