"Reactive Resume" matching MCP servers:

A local MCP server that generates bullet points for resume project experience from GitHub repository signals, merges them into a PDF resume, and exports a new PDF using templates.

Enables Claude Desktop to act as an ATS resume checker: lists resume files and evaluates them against job descriptions, providing formatting audits and keyword match scores.

Provides sandboxed file system tools (read, write, search, list, watch) over the Model Context Protocol, enabling resume matching and analysis workflows via an agent.

MCP server for AI-powered resume optimization and generation. It enables clients to optimize existing resumes or generate new ones from background info via LLM, producing formatted .docx and .pdf files.

Tailor your CV to any job posting with ATS keyword scoring and clean PDF/DOCX export.

Enables local ATS-style resume scanning against job postings, providing match rates, missing keywords, and edit suggestions through Claude Desktop.

Enables managing a job search through natural language: tracking applications, discovery leads, interview prep, and resume generation. Connects to Claude via MCP to read and update local Excel files and documents.

Compiles LaTeX resumes into PDFs via MCP tools, including validation, preview, template compilation, and LaTeX export, with security defaults like path isolation and no shell escapes.

MCP server for managing job application materials, including resume compilation, job posting fetching, and interview preparation.

Enables MCP-compatible AI agents to browse, search, transfer, organize, pause, resume, and cancel files and folders across O2, Drive, OneDrive, and Google Photos accounts using the same local service and transfer queue as the desktop app.

Search and resume past Claude Code conversations via MCP. Reads local JSONL session files, runs locally, MIT licensed. An elephant never forgets.

An intelligent, zero-cost MCP server that securely parses local resumes and compares them against live job postings for ATS scoring, skill gap analysis, and interview prep.

Lets web ChatGPT and other MCP clients explore, read, and edit files under allowed local project roots, run whitelisted commands such as git and npm, and hand off or resume coding tasks with the local Codex CLI, optionally over an OpenAI Secure MCP Tunnel.

Enables AI agents to interact with a sandboxed filesystem via MCP tools for reading, writing, searching, and monitoring files, including batch processing and resource discovery for resume management.

Enables ChatGPT to work on a local project by reading and editing files, running shell commands, keeping terminals and desktop sessions open, and splitting work across durable workers whose context persists between tasks. Long-running work can be steered mid-flight, tracked with Goal, and carried into fresh chats via Compact & Resume.

MCP server for processing Markdown resumes into multiple formats (PDF, LinkedIn templates) with AI analysis and Claude integration.

Enables MCP-capable AI agents to work on bounded project folders through read, write, run, and verify tools, with durable approval/resume workflows and completion proven by observed verification evidence rather than self-reported results.

Enables agents to read, search, batch process, and watch directories of resume files via JSON-RPC MCP methods and resource discovery.

Enables AI assistants to fetch a master resume, tailor it to a job description, and generate a polished PDF resume using headless Chromium.

Enables local editing and compilation of LaTeX resumes, syncing with Overleaf via browser automation without Git or API access.