"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.

High-frequency (~60Hz) in-browser behavior tree execution engine for autonomous AI agents. Reactive priority interrupts, safety guardrails & deterministic action replay over MCP.

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.

Provides job search, local resume parsing, and resume-to-job matching via official APIs and local file processing.

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.

Exposes Aniket Charjan's resume as a queryable API for AI assistants, implementing MCP tools, resources, and prompts for detailed resume queries.

Enables Codex users to automatically resume selected tasks after rate-limit resets by reading local metadata and updating native scheduled tasks, and optionally attempts to start an inactive five-hour window at a chosen time via a lightweight prewarm message.

MCP server for analyzing resumes, calculating ATS match scores, and suggesting job-tailored improvements.

AI-powered travel route planning server with budget estimation, packing suggestions, and food recommendations, using LangChain reactive agent with Tongyi Qwen and local deterministic fallback tools.

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.

Crawl any website into clean Markdown, search through pages, read full content, and extract structured data using OpenAI, Claude, Gemini, or Grok — with auto-citation and resume support.

Exposes a personal portfolio of projects, skills, and resume as callable tools for MCP-compatible AI assistants like Claude Desktop.