Agentic-AI-Mastery MCP Server
SanjayBukka/Agentic-AI-Mastery
A comprehensive roadmap and implementation of Agentic AI systems. Features a progression from foundational reflex agents to advanced multi-agent orchestrations using LangGraph, CrewAI, Agno, and AutoGen. Includes Model Context Protocol (MCP) integrations and real-world AI agent workflows
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
SanjayBukka/Agentic-AI-Mastery is a Jupyter Notebook MCP server. A comprehensive roadmap and implementation of Agentic AI systems. Features a progression from foundational reflex agents to advanced multi-agent orchestrations using LangGraph, CrewAI, Agno, and AutoGen. Includes Model Context Protocol (MCP) integrations and real-world AI agent workflows
Ranked #8106 out of 25022 indexed tools.
Ecosystem
Score Breakdown
1 stars → early stage
Last commit 8mo ago → stale
No issues filed → no history to score
0 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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