GenAI-AgenticAI-From-Zero-to-Production — security grade SAFE, quality 40/100

Security audit verdict: SAFE · quality 40/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by bansalkanav · MCP Server · ★ 113

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About GenAI-AgenticAI-From-Zero-to-Production

GenAI-AgenticAI-From-Zero-to-Production

agentic-aiazure-foundrychromadbdeepagentsdeepevalfoundry-sdkgeminigroq-apihuggingface-transformershybrid-search

Quick Facts

Stars113
Forks22
LanguageJupyter Notebook
CategoryMCP Server
Quality Score40.1253157520678/100
Open Issues2
Last Updated2026-05-10
Created2024-06-22
Platformscli, gemini, mcp
Est. Tokens~8618k

Compatible Skills

These tools work well together with GenAI-AgenticAI-From-Zero-to-Production for enhanced workflows:

GenAI-AgenticAI-From-Zero-to-Production alternative? Top 6 similar tools

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Frequently Asked Questions

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

GenAI-AgenticAI-From-Zero-to-Production is Learn GenAI and Agentic AI from Zero to Production. It is categorized as a MCP Server with 113 GitHub stars.

What programming language is GenAI-AgenticAI-From-Zero-to-Production written in?

GenAI-AgenticAI-From-Zero-to-Production is primarily written in Jupyter Notebook. It covers topics such as agentic-ai, azure-foundry, chromadb.

How do I install or use GenAI-AgenticAI-From-Zero-to-Production?

You can find installation instructions and usage details in the GenAI-AgenticAI-From-Zero-to-Production GitHub repository at github.com/bansalkanav/GenAI-AgenticAI-From-Zero-to-Production. The project has 113 stars and 22 forks, indicating an active community.

What are the best alternatives to GenAI-AgenticAI-From-Zero-to-Production?

The top alternatives to GenAI-AgenticAI-From-Zero-to-Production on Agent Skills Hub include mcp-local-rag, PolyMCP, simplemind. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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