A FastAPI server that implements the Model Context Protocol (MCP) using Server-Sent Events (SSE) transport to provide random cat facts on demand or as a continuous stream.
Enables analysis of academic author networks and research collaborations by retrieving co-authors and research keywords from sources like Semantic Scholar, OpenAlex, Crossref, and Google Scholar.
Enables AI-powered conversations about resume/CV content and email notification sending through a comprehensive MCP server. Features a modern Next.js frontend with resume chat interface, email forms, and resume viewer for SE interview demonstrations.
Automatically generates and updates CVs/resumes by aggregating data from git commits, Jira tickets, Credly certifications, and existing PDF resumes, with LaTeX formatting support.
A Model Context Protocol (MCP) server implementation that uses Server-Sent Events (SSE) to enable real-time, server-pushed updates between AI models and tools over HTTP connections.