JobsAI MCP
A private job-search platform that collects opportunities, matches roles against résumé evidence, and manages research, networking, and follow-through through a dashboard and MCP server.
JobsAI combines a PostgreSQL-backed opportunity pipeline with a Flask dashboard and a dependency-free MCP server. It collects from configured public employer boards, job APIs, and selected search sources, then records pipeline activity and reports for review.
For fit analysis and tailored materials, it builds a local retrieval store from the canonical résumé and opportunity documents so recommendations can cite supporting evidence. Deterministic scoring compares the complete résumé and saved career goals; optional AI providers enrich postings with structured requirements and fit notes.
The dashboard supports review queues, workflow stages, company and contact research, networking interactions, interview and calendar events, and daily planning. MCP tools expose search, opportunity and CRM reads, scoring and processing, scheduling, and application-preparation workflows to compatible assistants.
JobsAI is a private project and is not publicly available. It is also running on Oracle Cloud Infrastructure (OCI), with a migration to AWS planned.
The design keeps qualification tied to résumé evidence while preferences and workflow activity remain distinct, making recommendations easier to inspect and correct.
Basic architecture
employer boards · job APIs
local retrieval store
collection · enrichment · evidence-based scoring
opportunities · CRM · events · workflow
review · planning · reporting
ChatGPT · Claude · other clients
grounded drafts · contact activity · outcomes
Messaging workflow prepares and tracks outreach; messages are sent personally. High-level view; private implementation and deployment details are intentionally omitted.