"Reactive Resume" matching MCP servers:

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

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

Resume Parser AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Flatten Claude Code sessions: keep every prompt and event verbatim, resume at a lower token count. An MCP server.

Enables git-versioned project state for AI sessions, capturing decisions, constraints, and rejected paths with confidence and provenance. It provides a deterministic resume context so new sessions continue without losing direction or re-proposing rejected work.

Auto-Apply That Ends on an Interview. Job matches, applications submitted on the employer's own hiring system automatically or after your approval, employer-receipt tracking, a resume rewritten for each role, cover letters and interview prep. Hosted remote server over Streamable HTTP with OAuth 2.1.

Maintained fork of Three-Little-Birds/openvsp-mcp, adding OpenVSP geometry inspection, typed parameter editing, SVG/STL previews, validated VSPAERO analysis, and durable parallel batches with progress, cancellation, resume, and CSV/JSON export. Independently maintained by rhyne1012; not an official OpenVSP or NASA project.

Watches company job boards (Greenhouse, Lever, Ashby, Workable, Workday and more) for new roles that match your filters, ranks them in a digest optionally fit-scored against your resume, and tracks every application with interview prep sheets. It never applies for you.

Enables MCP clients like Claude, Cursor and VS Code to parse resume files into structured JSON, turn job descriptions into weighted criteria, score and rank candidates against a job, and normalize free-text skills to a standard taxonomy. Each tool call uses one HireLayer credit, with a free monthly allowance.

Self-hosted AI incident triage with checkpointed resume and episodic memory. Exposes investigate_incident, get_investigation, search_incident_memory, and export_postmortem tools over MCP.

Enables agents to record a browser task once and replay it across Excel or CSV rows without a model, verifying each item and journaling results so runs can resume and uncertain submissions are held for review.

Reference MCP server for the mcp-longjobs library: durable long-running tasks with progress polling, mid-flight input, and cooperative cancellation, plus chunked file transfers with resume cursors and sha256 verification. Works on every MCP client today — no Tasks-extension support required.

Claude-powered job fit analyzer that analyzes job fit based on GitHub portfolio, resume, and preferences, tracks applications locally.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

Local one-shot YAML/JSON agent workflow CLI with tools, approvals, and resume, plus an optional stdio MCP server. Apache-2.0, BYOK.

Lets Claude Code and Codex steer each other's live desktop chats on Windows via UI Automation. List and read chats, send messages or mid-turn steers, and pause, resume or edit Codex goals.

Generate Wan 3.0 AI videos from text prompts via PowerTokens: check API keys, estimate cost, generate and download MP4s, and resume interrupted tasks without paying twice.

Hosted MCP server for job search (3M+ jobs from employer career pages and ATS feeds like Lever/Greenhouse), PDF resume generation with multiple templates, AI resume tailoring per job description, cover letters, and career advice. Free hosted endpoint, no API key required.

Enables long-horizon autonomous task checkpointing and resumption through cryptographic event-sourced state persistence, idempotency key deduplication, timeout heartbeats, human-in-the-loop pause/resume tokens, and fail-safe recovery.

Enables AI coding agents to record and resume engineering work as durable, byte-exact threads of focus, decisions, evidence, and next steps.