Resume Generator MCP Server

@AndreaCadonna

Repository

Basic information

About Resume Generator MCP Server

MCP server for generating professional LaTeX resumes through Claude Desktop using natural language and resumake.io

#resume-generator #latex #mcp-server

Resume Generator MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "resumake-mcp": {
      "command": "node",
      "args": [
        "server.js"
      ],
      "env": {
        "DEBUG": "resume-generator"
      }
    }
  }
}

Resume Generator MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Resume Generator MCP Server?

A Model Context Protocol server that generates professional PDF resumes using LaTeX templates. It integrates with Claude Desktop to create polished resumes from structured data via natural language prompts.

How to use Resume Generator MCP Server?

Install Node.js (v16+), clone the repository, run npm install, then add the server to Claude Desktop’s MCP configuration (claude_desktop_config.json) with the command node path/to/server.js. Restart Claude Desktop. Use natural language in Claude to describe your resume and generate a PDF.

Key features of Resume Generator MCP Server

9 professional LaTeX templates
PDF generation via LaTeX Resume API
Direct MCP integration with Claude Desktop
Structured JSON schema for resume data
Customizable headings, sections, and template selection
AI-powered natural language resume creation

Use cases of Resume Generator MCP Server

Create a resume for a specific role (e.g., “software engineer with 5 years experience in React and Node.js”).
Tailor a resume to a job description by providing your full work history and target position.
Generate a resume using a specific template number (1–9).
Pivot careers by emphasizing transferable skills (e.g., finance to product management).

Frequently asked questions

What are the prerequisites?

Node.js v16 or higher, the Claude Desktop application, and an internet connection (for the LaTeX Resume API).

How do I configure Claude Desktop to use this server?

Add a `resume-generator` entry to the `mcpServers` object in your Claude Desktop config file, with `command` set to `node` and `args` pointing to the server’s `server.js` file. Then restart Claude Desktop.

Where are generated PDFs saved?

PDFs are stored in operating‑system‑specific directories: `%LOCALAPPDATA%\AnthropicClaude\app-{version}\generated-resumes\` (Windows), `~/Library/Application Support/AnthropicClaude/app-{version}/generated-resumes/` (macOS), or `~/.local/share/AnthropicClaude/app-{version}/generated-resumes/` (Linux).

What should I do if I see “Method not found” errors?

Ensure Claude Desktop was restarted after configuration, and verify that the path in `claude_desktop_config.json` is correct.

Can I use a specific LaTeX template?

Yes. You can specify a template number (1–9) in your natural language request (e.g., “Generate a resume using template 3”).

Comments

More Developer Tools MCP servers

Moxie Docs

Jackalope-Dev

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

OrangePro

Aamir Siddiqui

OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.

Perfex CRM

themesic

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.

Yocoolab

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

ArtiBot Cloud MCP - Zhijiangyun 智匠云

bofob

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation