LaTeX Resume MCP

An MCP (Model Context Protocol) server for intelligent LaTeX resume generation with visual verification, quality scoring, and job description tailoring.

Features

• Data-driven resumes: Store resume content in JSON, generate LaTeX on demand
• Visual verification: Preview rendered PDFs as images directly in Claude
• Quality scoring: Bullet analysis, ATS compatibility checks, keyword matching
• Job tailoring: Auto-select and prioritize content based on job descriptions
• Variant management: Create multiple resume versions for different roles
• LaTeX compilation: Generate publication-quality PDFs using pdflatex

Installation

Using uvx (recommended)

uvx latex-resume-mcp

Using pip

pip install latex-resume-mcp

Configuration

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

Using uvx

{
  "mcpServers": {
    "latex-resume": {
      "command": "uvx",
      "args": ["latex-resume-mcp"]
    }
  }
}

Using pip installation

{
  "mcpServers": {
    "latex-resume": {
      "command": "latex-resume-mcp"
    }
  }
}

Custom directories (optional)

{
  "mcpServers": {
    "latex-resume": {
      "command": "uvx",
      "args": ["latex-resume-mcp"],
      "env": {
        "LATEX_RESUME_DATA_DIR": "/path/to/data",
        "LATEX_RESUME_OUTPUT_DIR": "/path/to/output"
      }
    }
  }
}

Prerequisites

LaTeX Installation

To compile resumes to PDF, you need LaTeX installed:

macOS:

brew install --cask mactex
# or for a smaller installation:
brew install --cask basictex

Ubuntu/Debian:

sudo apt install texlive-latex-base texlive-latex-extra texlive-fonts-extra

Windows: Download and install MiKTeX

Available Tools (15)

Data Management

Tool	Description
import_from_latex_file	Parse existing .tex file into structured JSON data
get_resume_data	Get the master resume data pool
update_resume_data	Add, edit, or remove entries (experience, projects, etc.)
list_variants	List all saved resume variants
get_variant	Get details of a specific variant
save_variant	Create or update a variant configuration

Generation & Compilation

Tool	Description
generate_resume	Generate .tex file from data (optionally using a variant)
compile_resume_tex	Compile .tex to PDF using pdflatex
compile_and_preview	Compile and return preview images
preview_resume	Preview an existing PDF as images

Intelligence

Tool	Description
score_resume_quality	Score bullets, check ATS compatibility, match keywords
parse_job_description_text	Extract keywords and requirements from job description
generate_tailored_resume	Auto-select content based on JD, compile, and preview

Utility

Tool	Description
assess_quality	Run programmatic checks (page count, encoding, overflow)
get_config	Show current configuration and available tools

Usage Examples

Basic Workflow

> Get my resume data
Shows all stored experience, projects, education, skills

> Generate my resume and compile it
Creates .tex file and compiles to PDF

> Preview my resume
Returns rendered images of each page

Quality Improvement

> Score my resume quality
Returns bullet scores, ATS report, improvement suggestions

> Score my resume against keywords: Python, AWS, Kubernetes
Shows keyword match percentage and missing terms

Job Tailoring

> Parse this job description: [paste JD text]
Extracts title, required skills, preferred skills, keywords

> Generate a tailored resume for this job description
Auto-selects most relevant experience/projects, reorders skills, compiles

Variant Management

> List my resume variants
Shows: swe, ml_engineer, backend, etc.

> Save a new variant called "startup" with experiences 0,1,3
Creates variant configuration

> Generate my resume using the startup variant
Uses variant's content selection and ordering

Data Model

Resume data is stored as JSON with these sections:

• contact: Name, email, phone, LinkedIn, GitHub
• education: Degrees with GPA, dates, coursework
• publications: Academic publications
• experience: Work history with bullets and tags
• projects: Personal/open-source projects with tags
• skills: Categorized skill lists

Each experience and project can have tags (e.g., ["swe", "ml", "cloud"]) for intelligent content selection.

Default Directories

• Data: ~/.latex-resumes/data/ (resume JSON and variants)
• Output: ~/.latex-resumes/output/ (generated .tex and .pdf files)

License

MIT