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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

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

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

Resources

Looking for Admin?

Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.

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