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

The ai-engineering-playbook MCP server was last committed 1mo ago and has 1 contributor. Issue health: 100% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

ai-engineering-playbook MCP Server

Name: karthikreddy-7/ai-engineering-playbook
Rating: 3.7 (1 reviews)
Author: karthikreddy-7

karthikreddy-7/ai-engineering-playbook

Score: 67.0 Rank #4331 Search & RAG

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A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.

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Overview

karthikreddy-7/ai-engineering-playbook is a MDX tool licensed under MIT. A zero-to-100 learning path for applied AI engineering — RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.

Ranked #4331 out of 24840 indexed tools.

Ecosystem

MDX MIT

Score Breakdown

Stars 15% 59

59 stars → early stage

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 100%

1/1 issues closed → responsive maintainer

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 15

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 53 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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Markdown

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Details

Stars: 59
Forks: 15
Open Issues: 0
Closed Issues: 1
Contributors: 1
Dependents: —
Language: MDX
License: MIT
Last Commit: 1mo ago

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topic:mcp

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