"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 that scores a structured resume against a deterministic 4-category engineering rubric, providing numeric scores, evidence, bonus points, deductions, and improvement areas without an LLM call.

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

A resume MCP server that enables AI agents to search work history by keyword or meaning, retrieve detailed company info, and send scheduling emails, turning a static resume into interactive tools.

An MCP server that tailors a resume to a job posting by providing fit scores, keyword extraction, and bullet rewrites.

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.

MCP server that exposes a resume as callable tools and resources, enabling AI agents to query experience, skills, projects, and contact information via natural language.

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.

Provides a headless session runtime for reactive compute graphs, enabling MCP-driven cell operations without a DOM or browser.

Generates professional PDF resumes using LaTeX templates through natural language descriptions. Supports 9 professional templates, AI-powered resume tailoring, and organized folder management for job applications.

Enables resume parsing, querying, and email notifications via MCP tools.

Enables AI assistants to intelligently fetch, parse, search, and rank resumes from email attachments. Supports multi-format resume parsing (PDF, DOC, DOCX), multi-dimensional searching by keywords, position, skills, and experience, with statistical analysis capabilities.

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.

A server that enhances AI assistants with the ability to update your JSON Resume by analyzing your coding projects, automatically extracting skills and generating professional descriptions.