Is the learn-ai-engineering MCP server actively maintained?

The learn-ai-engineering MCP server was last committed 7mo ago and has 5 contributors. Issue health: 25% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

learn-ai-engineering MCP Server

Name: ashishps1/learn-ai-engineering
Rating: 2.9 (1 reviews)
Author: ashishps1

ashishps1/learn-ai-engineering

Score: 46.6 Rank #21108 Search & RAG

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Overview

ashishps1/learn-ai-engineering is a tool licensed under GPL-3.0. Learn AI and LLMs from scratch using free resources Topics: agentic-ai, agents, ai, deep-learning, generative-ai, large-language-models, llm, machine-learning, mcp, ml, prompt-engineering, rag.

Ranked #21108 out of 24840 indexed tools.

Has 6,063 GitHub stars.

Ecosystem

GPL-3.0

agentic-aiagentsaideep-learninggenerative-ailarge-language-modelsllmmachine-learningmcpmlprompt-engineeringrag

Score Breakdown

Stars 15% 6,063

6,063 stars → well-known project

Freshness 25% 7mo ago

Last commit 7mo ago → stale

Issue Health 25% 25%

3/12 issues closed → many open issues

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 1,446

Description Good

License GPL-3.0

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

How to Improve

Description low impact

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Freshness high impact

Last commit was 232 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 9 open vs 3 closed issues — triaging stale issues improves health

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Details

Stars: 6,063
Forks: 1,446
Open Issues: 9
Closed Issues: 3
Contributors: 5
Dependents: —
Language: —
License: GPL-3.0
Last Commit: 7mo ago

Matched Queries

topic:mcp

From the README

# Learn AI Engineering

A comprehensive collection of free resources to learn everything about AI/ML, LLMs and Agents.

## Mathematical Foundations
- [Mathematics Roadmap for Machine Learning](https://thepalindrome.org/p/the-roadmap-of-mathematics-for-machine-learning)
- [Essence of Linear Algebra - 3Blue1Brown](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
- [Probability & Statistics - Khan Academy](https://www.khanacademy.org/math/statistics-probability)
- [Statistics Fundamentals - Josh Strarmer](https://www.youtube.com/playlist?list=PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9)
- [Mathematics for Machine Learning Specialization - Coursera (Andrew Ng)](https://www.coursera.org/specializations/mathematics-machine-learning)

## Python
- [AI Python for Beginners - Deeplearning.ai](https://www.deeplearning.ai/short-courses/ai-python-for-beginners/)

## AI & ML Fundamentals
- [Machine Learning Crash Course - Google](https://developers.google.com/machine-learning/crash-c

Read full README on GitHub →

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