Is the agentic-ai-learning-roadmap MCP server actively maintained?

The agentic-ai-learning-roadmap MCP server was last committed 26d ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

agentic-ai-learning-roadmap MCP Server

Name: alok-vibe-code/agentic-ai-learning-roadmap
Rating: 3.0 (1 reviews)
Author: alok-vibe-code

alok-vibe-code/agentic-ai-learning-roadmap

Score: 48.9 Rank #17613 Agent Framework

Are you the maintainer of alok-vibe-code/agentic-ai-learning-roadmap? Claim this listing →

A practical 12-week Agentic AI learning roadmap covering LLM foundations, tool calling, RAG, memory, MCP, multi-agent systems, evaluation, security, and production deployment.

Add AgentRank to Claude Code Discover and compare tools like alok-vibe-code/agentic-ai-learning-roadmap — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

alok-vibe-code/agentic-ai-learning-roadmap is a Python tool licensed under MIT. A practical 12-week Agentic AI learning roadmap covering LLM foundations, tool calling, RAG, memory, MCP, multi-agent systems, evaluation, security, and production deployment.

Ranked #17613 out of 24840 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 2

2 stars → early stage

Freshness 25% 26d ago

Last commit 26d ago → recently updated

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

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

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/alok-vibe-code--agentic-ai-learning-roadmap)](https://agentrank-ai.com/tool/alok-vibe-code--agentic-ai-learning-roadmap/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/alok-vibe-code--agentic-ai-learning-roadmap/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/alok-vibe-code--agentic-ai-learning-roadmap" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="alok-vibe-code/agentic-ai-learning-roadmap"></script>

Details

Stars: 2
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 26d ago

Matched Queries

topic:mcptopic:model-context-protocol

See alternatives to alok-vibe-code/agentic-ai-learning-roadmap → Browse agent-framework category → Compare alok-vibe-code/agentic-ai-learning-roadmap → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

View on GitHub →