What can you do with this server?

The LaTeX Resume MCP server enables creation, management, editing, and compilation of professional LaTeX resumes directly through Claude. Resume Management: Create new resumes from templates (modern, classic, minimal) or custom LaTeX content, list all resumes with metadata (filename, last modified, file size), read resume source code, edit via full replacement or find-and-replace, and delete unwanted files. Content Enhancement: Add structured work experience entries (company, title, dates, location, bullet points) and education entries (institution, degree, dates, location, details) designed for the modern template. PDF Compilation: Compile LaTeX resumes to PDF using pdflatex (requires LaTeX installation). Observability & Verification: Analyze LaTeX code for syntax errors, inspect compiled PDFs for content verification, check compilation logs for warnings/errors, and run combined compile-and-verify checks. Templates & Configuration: List and retrieve template content for reference or customization, view current server configuration including directories and pdflatex status, and support custom storage locations via environment variables.

Which integrations are available for this server?

Allows creation, editing, and compilation of LaTeX resume documents using built-in templates (modern, classic, minimal), with tools for managing resume files, adding experience/education entries, and compiling to PDF using pdflatex.

How do I use LaTeX Resume MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@LaTeX Resume MCP create a new resume called software_engineer using the modern template" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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

Install Server

A

security – no known vulnerabilities

A

license - permissive license

A

quality - confirmed to work

How are these scores calculated?

Resources

GitHub Repository

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LaTeX Resume MCP

LaTeX Resume MCP

Features

Installation

Using uvx (recommended)

Using pip

Configuration

Using uvx

Using pip installation

Custom directories (optional)

Prerequisites

LaTeX Installation

Available Tools (15)

Data Management

Generation & Compilation

Intelligence

Utility

Usage Examples

Basic Workflow

Quality Improvement

Job Tailoring

Variant Management

Data Model

Default Directories

License

Resources

Tools

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