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Resume Onepage Autofit MCP Server

@seriserendipia

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

seriserendipia

投稿者

seriserendipia

Resume Onepage Autofit MCP Server について

From Markdown to auto-one-paged PDF formatted resume, the last tool you need to automate your ai resume generation workflow.

Resume Onepage Autofit 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": {
    "resume-autofit": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/resume-onepage-autofit-mcp/mcp_server",
        "run",
        "mcp_server.py"
      ]
    }
  }
}

Resume Onepage Autofit 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。

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 Resume Onepage Autofit Mcp?

This MCP server automates the process of generating a single-page PDF resume from a user's experience. It integrates with AI agents (like Claude Desktop) to render Markdown content as a PDF, detect page overflow, and provide feedback for automatic content reduction to fit exactly one A4 page.

How to use Resume Onepage Autofit Mcp?

Install dependencies (Python 3.8+, Playwright, Chromium), configure the MCP server in Claude Desktop’s claude_desktop_config.json, prepare resume content in myexperience.md, then restart Claude and ask the AI to generate a single-page resume. The server is invoked automatically by the AI agent when it calls the render_resume_pdf tool.

Key features of Resume Onepage Autofit Mcp

  • Smart fitting: auto-adjusts content to fit one A4 page
  • Pixel-accurate page height detection via Playwright
  • Three-tier layered reduction strategy (format → content → deep)
  • Feedback loop: AI iterates based on overflow metrics
  • MCP integration: direct calls from Claude Desktop and other AI clients

Use cases of Resume Onepage Autofit Mcp

  • Quickly generate a single-page resume from raw experience text
  • Automate formatting and page-fitting without manual tweaking in Word
  • Integrate resume generation into an AI-assisted workflow
  • Produce consistent, clean PDFs for job applications

よくある質問

1

What does this MCP do that a simple Markdown-to-PDF converter doesn't?

It actively detects overflow and provides structured feedback (overflow percentage and hints) so an AI agent can iteratively reduce content until the resume fits exactly one page, using a defined reduction strategy.

2

What are the runtime dependencies?

Python 3.8+, the Playwright library (v1.40+), and a Chromium browser (~150 MB first-time download). All dependencies are listed in `requirements.txt` and installed via `pip` or `uv`.

3

Where are the generated PDFs saved?

By default, PDFs are saved to the `generated_resume/` folder in the project directory. You can customize the output path via a `js/config.js` file or by passing an `output_path` parameter when calling the tool.

4

What are the known limitations?

- Requires Chromium (first-time download ~150 MB). - Very long resumes (10+ pages) may need multiple reduction rounds. - Some special characters (e.g., emoji) can affect layout.

5

What transport or authentication does the MCP server use?

The MCP server uses the standard MCP protocol (stdio transport) as configured in `claude_desktop_config.json`. No authentication is built-in; it runs locally.

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