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The Context-Engineering-for-Multi-Agent-Systems MCP server was last committed 1mo ago and has 2 contributors. Issue health: 0% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

Context-Engineering-for-Multi-Agent-Systems MCP Server

Name: Denis2054/Context-Engineering-for-Multi-Agent-Systems
Rating: 3.3 (1 reviews)
Author: Denis2054

Denis2054/Context-Engineering-for-Multi-Agent-Systems

Score: 58.6 Rank #6834 Agent Framework

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Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.

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Overview

Denis2054/Context-Engineering-for-Multi-Agent-Systems is a Jupyter Notebook tool licensed under MIT. Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency. Topics: context-engineering, gpt-5-api, multi-agent-systems, pinecone, rag, semantic-analysis, agentic-ai, agentic-rag, deterministic-ai, model-context-protocol, semantic-blueprints, universal-context-engine, langchain, nemotron.

Ranked #6834 out of 24846 indexed tools.

Ecosystem

Jupyter Notebook MIT

context-engineeringgpt-5-apimulti-agent-systemspineconeragsemantic-analysisagentic-aiagentic-ragdeterministic-aimodel-context-protocolsemantic-blueprintsuniversal-context-enginelangchainnemotron

Score Breakdown

Stars 15% 288

288 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/1 issues closed → many open issues

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 104

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 31 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 1 open vs 0 closed issues — triaging stale issues improves health

Dependents medium impact

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

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Details

Stars: 288
Forks: 104
Open Issues: 1
Closed Issues: 0
Contributors: 2
Dependents: —
Language: Jupyter Notebook
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:model-context-protocol

From the README

# Context Engineering for Multi-Agent Systems

<h3 align="center">
Move beyond prompting to build a Context Engine in a transparent architecture of context and reasoning
</h3>

[**🎞️▶️**](https://denis2054.github.io/Context-Engineering-for-Multi-Agent-Systems/media/player.html) **In 21st‑century Agentic AI, Natural‑Language‑Programmed LLMs are the execution agents, and the domain‑agnostic dual‑RAG MAS is the environment they operate in.**
This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic, **transparent**, **observable**, and **sovereign** **Context Engine**. By building universal, domain-agnostic Multi-Agent Systems through high-level semantic orchestration, you can save thousands of lines of code while maintaining 100% observability.

<br clear="left"/>
<p align="center">Copyright 2025-2026, Denis Rothman. <strong>Last updated: September 17, 2026</strong></p>

<p align="center">See the <a href

Read full README on GitHub →