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The AI-Engineer MCP server was last committed 2mo ago and has 2 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

AI-Engineer MCP Server

Name: Ratnesh-181998/AI-Engineer
Rating: 3.1 (1 reviews)
Author: Ratnesh-181998

Ratnesh-181998/AI-Engineer

Score: 52.4 Rank #14951 Search & RAG

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AI Engineering Specially Topics- Agentic AI & GenAI Explanation

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Overview

Ratnesh-181998/AI-Engineer is a tool licensed under Apache-2.0. AI Engineering Specially Topics- Agentic AI & GenAI Explanation Topics: agentic-ai, ai-agents, astradb, autogen, chromadb, crewai, embedding-models, faiss, generative-ai, groq, huggingface-transformers, lanchain, langraph, llamaindex, llm, llmops, phidata, rag, vector-database, mcp.

Ranked #14951 out of 24846 indexed tools.

Ecosystem

Apache-2.0

agentic-aiai-agentsastradbautogenchromadbcrewaiembedding-modelsfaissgenerative-aigroqhuggingface-transformerslanchainlangraphllamaindexllmllmopsphidataragvector-databasemcp

Score Breakdown

Stars 15% 151

151 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 89

Description Good

License Apache-2.0

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

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Description low impact

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Freshness high impact

Last commit was 69 days ago — a recent commit would boost your freshness score

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: 151
Forks: 89
Open Issues: 0
Closed Issues: 0
Contributors: 2
Dependents: —
Language: —
License: Apache-2.0
Last Commit: 2mo ago

Matched Queries

topic:mcp

From the README

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## Agentic AI | Generative AI | LLMs | RAG | Agentic AI Frameworks 🌈 TOPICS detailed explanations 

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# 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗟𝗮𝘆𝗲𝗿𝘀 𝗼𝗳 𝗔𝗜

# AI agents roadmap divided into 3 levels

# GenAI vs AI Agents vs Agentic AI vs ML vs Data Science vs LLM vs Cognitive architectures.

# There are 3 AI workflows worth knowing:

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# 🚀 𝗧𝗵𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗲 — 𝗙𝗿𝗼𝗺 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲
## [AI Engineer](https://www.youtube.com/@aiDotEngineer/videos)

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# [Different Types of Retrieval in RAG System](https://github.com/Ratnesh-181998/AI-Engineer/blob/main/Different%20Types%20of%20Retrieval%20in%20RAG%20System.pdf)

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# Understanding the Layers of Intelligence in Modern AI Systems

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#  Understanding the MCP Workflow: How AI + Tools Work Together Seamlessly

### [Building Agents with Model Context Protocol Full

Read full README on GitHub →