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Agentic-AI-Engineering MCP Server

Sam33r-Shahzad/Agentic-AI-Engineering

Score: 41.7 Rank #12857 Agent Framework
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8 production-grade AI Agent projects covering advanced multi-agent orchestration, context engineering, RAG, and custom MCP servers. Built using OpenAI SDK, LangGraph, CrewAI, and AutoGen. Showcases browser automation, Docker sandboxing, autonomous workflows, full system architecture, and production deployments.

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Overview

Sam33r-Shahzad/Agentic-AI-Engineering is a Jupyter Notebook MCP server licensed under MIT. 8 production-grade AI Agent projects covering advanced multi-agent orchestration, context engineering, RAG, and custom MCP servers. Built using OpenAI SDK, LangGraph, CrewAI, and AutoGen. Showcases browser automation, Docker sandboxing, autonomous workflows, full system architecture, and production deployments.

Ranked #12857 out of 24850 indexed tools.

Ecosystem

Jupyter Notebook MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 43 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for Sam33r-Shahzad/Agentic-AI-Engineering
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Matched Queries

"mcp server""mcp-server"

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