MCP server that evaluates, compares, aligns, generates, and validates resume materials against specific job postings, including ATS parseability checks, match scoring, and gap analysis.
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.
Provides a hosted remote MCP server that lets compatible AI clients retrieve and save durable context, checkpoints, operating rules, project notes, and permission-controlled templates for continuity across ChatGPT, Claude, IDEs, coding agents, and other AI tools. It enables token-efficient startup and resume handoffs so users can move projects between tools without rebuilding detailed prompts each session.
A multi-server system that converts PDF documents to Markdown format using FastMCP architecture with upload and convert servers orchestrated by a reactive client agent.