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@useresume/mcp-server

v1.1.1

Published

MCP server for AI-powered resume and cover letter generation via useresume.ai API

Downloads

14

Readme

@useresume/mcp-server

MCP (Model Context Protocol) server for AI-powered resume and cover letter generation via the UseResume API.

This package allows AI agents to generate professional PDF resumes and cover letters through natural conversation.

Compatible with: Claude Desktop, Claude Code, Cursor, Windsurf, Cline, and other MCP-compatible clients.

Features

  • 7 Tools for complete document generation workflow
  • Resume Generation - Create PDFs from structured data or tailored to job postings
  • Cover Letter Generation - Create PDFs with AI-powered content tailoring
  • Document Parsing - Parse existing PDFs/DOCX into structured data
  • 17 Resume Templates - Professional designs for any industry
  • 32 Color Variants - Customizable accent colors
  • Full Styling Control - Fonts, backgrounds, spacing, and more

Installation

Using npx (Recommended)

No installation required. Configure Claude Desktop or Claude Code to use npx:

{
  "mcpServers": {
    "useresume": {
      "command": "npx",
      "args": ["-y", "@useresume/mcp-server"],
      "env": {
        "USERESUME_API_KEY": "ur_xxxxx"
      }
    }
  }
}

Global Installation

npm install -g @useresume/mcp-server

Then configure:

{
  "mcpServers": {
    "useresume": {
      "command": "useresume-mcp",
      "env": {
        "USERESUME_API_KEY": "ur_xxxxx"
      }
    }
  }
}

Getting an API Key

  1. Go to useresume.ai/account/api-platform
  2. Create an account or sign in
  3. Generate an API key (starts with ur_)
  4. Add credits to your account

Available Tools

Resume Tools

| Tool | Credits | Description | | ------------------------ | ------- | ------------------------------------------------------------------------------ | | create_resume | 1 | Generate PDF resume from structured content | | parse_resume | 4 | Parse existing resume (PDF / DOCX / PNG / JPG / JPEG /WEBP) into JSON/markdown | | create_tailored_resume | 5 | Generate resume optimized for a specific job posting |

Cover Letter Tools

| Tool | Credits | Description | | ------------------------------ | ------- | ------------------------------------------------------------------------------------ | | create_cover_letter | 1 | Generate PDF cover letter from structured content | | parse_cover_letter | 4 | Parse existing cover letter (PDF / DOCX / PNG / JPG / JPEG /WEBP) into JSON/markdown | | create_tailored_cover_letter | 5 | Generate cover letter optimized for a specific job posting |

Utility Tools

| Tool | Credits | Description | | ---------------- | ------- | ------------------------------------------------ | | get_run_status | 0 | Check the status of an async operation by run ID |

Example Usage

Once configured, you can ask Claude to:

  • "Create a resume for a software engineer with 5 years of experience"
  • "Parse my resume from this URL: https://example.com/resume.pdf"
  • "Create a tailored resume for this job posting: [paste job description]"
  • "Generate a cover letter for a marketing manager position at Google"
  • "Create a tailored cover letter for this job: [paste job description]"

Styling Options

Resume Templates (17)

default, clean, classic, executive, modern-pro, meridian, horizon, atlas, prism, nova, zenith, vantage, summit, quantum, vertex, harvard, lattice

Cover Letter Templates (11)

atlas, classic, clean, default, executive, horizon, meridian, modern-pro, nova, prism, zenith

Colors (32)

blue, black, emerald, purple, rose, amber, slate, indigo, teal, burgundy, forest, navy, charcoal, plum, olive, maroon, steel, sapphire, pine, violet, mahogany, sienna, moss, midnight, copper, cobalt, crimson, sage, aqua, coral, graphite, turquoise

Fonts (9)

geist, inter, merryweather, roboto, playfair, lora, jost, manrope, ibm-plex-sans

Background Colors (16)

white, cream, pearl, mist, smoke, ash, frost, sage, mint, blush, lavender, sky, sand, stone, linen, ivory

Environment Variables

| Variable | Required | Description | | ------------------------ | -------- | ------------------------------------------------------------ | | USERESUME_API_KEY | Yes | Your UseResume API key (starts with ur_) | | USERESUME_API_BASE_URL | No | Custom API base URL (default: https://useresume.ai/api/v3) |

Configuration Locations

Claude Desktop

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

Claude Code

~/.claude/settings.json

Cursor

~/.cursor/mcp.json

Other MCP Clients

Check your client's documentation for the MCP configuration file location. The configuration format is the same across all clients.

Response Format

All tools return JSON with the following structure:

Success (create/create-tailored)

{
  "success": true,
  "file_url": "https://...",
  "file_expires_at": "2024-02-15T12:00:00.000Z",
  "file_url_expires_at": "2024-01-17T12:00:00.000Z",
  "file_size_bytes": 245000,
  "credits_used": 1,
  "credits_remaining": 99
}

Success (parse)

{
  "success": true,
  "data": {
    "name": "John Doe",
    "email": "[email protected]",
    "employment": [...],
    "education": [...],
    ...
  },
  "credits_used": 4,
  "credits_remaining": 95
}

Error

{
  "success": false,
  "error": "Error message",
  "status_code": 400,
  "details": {...}
}

Development

# Clone and install
git clone https://github.com/accelerated-ideas/useresume-mcp-server
cd mcp-server
npm install

# Build
npm run build

# Test locally
USERESUME_API_KEY=ur_test node dist/index.js

License

MIT

Links