"Reactive Resume" matching MCP servers:

Write your resume in Markdown and export to PDF with AI assistance, using a built-in stylesheet and tools for conversion.

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.

An MCP server that connects Claude to your real GitHub activity and tells you what to build and ship publicly to make your resume credible.

MCP server for browsing and searching your local resume and job application documents

Neo4j-backed MCP server managing code architecture dependency graphs, enabling AI agents to query impact, submit change intents, and coordinate reactive multi-agent workflows.

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.

Renders a YAML CV into a one-page PDF via notboringresume.cloud, optionally generating a cover letter adapted to the resume and job offer.

Enables creating, editing, and compiling LaTeX resumes directly from Claude using built-in templates, with support for managing multiple resume files and automatic PDF generation.

Enables MCP clients like Cursor and Claude to answer grounded questions about YongBo Yu from his public resume and reputation site, with tools that fetch and cache machine-readable pages and return source URLs on every response.

An MCP server for intelligent LaTeX resume generation with multiple templates, quality scoring, and job description tailoring.

Lets Codex inspect, build, wire, tune, sample, and visually verify running TouchDesigner projects for generative visuals, audio-reactive systems, and fast agent-assisted prototyping.

Enables parsing and extracting structured data from resumes using the Rchilli API. Supports resume parsing from public URLs or binary data in base64 format.

Enables an AI assistant to list, inspect, check, build, and score tailored resume versions from a single shared fact library, including form answers and ATS field-mapping playbooks. Guardrails ensure it never adds unconfirmed facts or papers over gaps flagged as real.

Exposes a personalized AI agent that reads your resume and provides intelligent responses about your professional background through a standardized MCP server interface with RAG capabilities.

Enables evidence-grounded resume tailoring by generating ATS-readable LaTeX/PDF resumes from a user-curated experience bank, with every bullet traceable to evidence and inferred wording flagged for user approval.

MCP server that evaluates, compares, aligns, generates, and validates resume materials against specific job postings, including ATS parseability checks, match scoring, and gap analysis.

Enables Claude to intelligently query and analyze your resume using RAG technology. Supports skill matching against job requirements and answering questions about your professional background from locally stored resume files.

Enables AI assistants to tailor a resume to any job description by extracting keywords, analyzing gaps and ATS compliance, managing versions, and compiling PDF/LaTeX outputs entirely locally without external API keys.

Analyzes resume text against job descriptions to provide ATS fit scores, missing keywords, and suggestions.

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.