Job & Stock Analysis (NSE)

Multi-component MCP server implementation by Somnath Chattaraj that combines job search capabilities with NSE stock recommendations using Google Gemini AI and web scraping. The implementation includes two distinct components: a Python-based bearer token server that provides job finding tools with web scraping, image processing, and a multi-agent stock analysis workflow using LangChain and LangGraph, plus a TypeScript-based GitHub OAuth server deployed on Cloudflare Workers that demonstrates user authentication and access control for MCP tools. The OAuth component showcases how to restrict tool access based on GitHub user identity, while the job/stock server integrates with Bright Data for web scraping and uses Gemini's multi-agent approach for comprehensive Indian stock market analysis including price predictions and trading recommendations.