Enables LLM clients to analyse job postings, tailor resumes from an evidence-labelled profile, validate every claim against that profile, and track applications, all through deterministic MCP tools.
MCP server that aggregates and deduplicates job listings from multiple public sources, ranks them against a user's resume, and exposes tools for searching, viewing details, explaining fit, and tracking applications.
A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.
Enables to interact with job application workflows through MCP, allowing users to find jobs, generate non-trivial applications with proof-maps, and build offline dashboards, all without auto-submitting.
Enables AI agents to run a deterministic job-application pipeline over MCP: scoring fit against a profile's evidence, drafting market-aware CVs and cover letters for 15 country conventions, and shipping documents only after an ATS-style gate checks page count, text layer, raster layout and naming. Writes require explicit confirmation, and every command returns a single JSON envelope with meaningful exit codes.