Agentic-AI-with-MCP
Few notebooks containing the code for building agentic workflow from ground up
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🚀 Developer Intern @ SAP Labs | M.Tech AI/ML 🔧 Python, Nextjs, Java, Reactjs, Spring Boot, Nodejs, LangGraph 🤖 Building with LLMs, RAG, multi-agent system
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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.