GenAI-AgenticAI-From-Zero-to-Production

by bansalkanav · Memory & Knowledge · ★ 117

GenAI-AgenticAI-From-Zero-to-Production is an MCP server by bansalkanav. Learn GenAI and Agentic AI from Zero to Production. It has 117 GitHub stars and ranks #318 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: bansalkanav
GitHub stars: 117
This week: Tracking since 18 Oct 2026
Language: Jupyter Notebook
License: Not stated
Last update: 2026-05-10 (5 months ago)
Links: Source

agentic-ai
azure-foundry
chromadb
deepagents
deepeval
foundry-sdk
gemini
groq-api
huggingface-transformers
hybrid-search
langchain-python
langgraph-python
+8 more

How to install GenAI-AgenticAI-From-Zero-to-Production

Install steps differ per project, so follow the README in the GenAI-AgenticAI-From-Zero-to-Production repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

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Frequently asked questions

What is GenAI-AgenticAI-From-Zero-to-Production?

GenAI-AgenticAI-From-Zero-to-Production is an MCP server by bansalkanav in the Memory & Knowledge category. Learn GenAI and Agentic AI from Zero to Production. It has 117 GitHub stars and ranks #318 of 1287 in Memory & Knowledge by stars. It is written in Jupyter Notebook. No license is stated. It was last updated 5 months ago.

Is GenAI-AgenticAI-From-Zero-to-Production free and open source?

The listing has no license field, which usually means the repository does not declare one. Without a license the code is not open source by default, so ask the maintainer before reusing it. You can still read the code and the README at the source link.

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