Context Engineering
🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph stores. Your AI assistant's long-term memory starts here.
MaintainedNot tested
★ 17GitHub
30DNo CVEsmaintainedMIT
Quick Install
{
"mcpServers": {
"context-engineering": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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[](https://mcppedia.org/s/context-engineering)
Should you use this server?
Welcome to the training hub for mastering Context Engineering with Model Context Protocol (MCP). This course teaches you to implement production-ready semantic memory systems for AI assistants using Python, FastAPI, FastMCP, and LangGraph.
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Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
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Is it maintained?
Last commit 47 days ago. 17 stars.
i
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
Test This Server
No automated test available for this server. Check the GitHub README for setup instructions.
Score Breakdown
Security
6/30No known vulnerabilities.
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Known CVEs — No package registry to scan
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Tool safety — No tools to analyze
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Tool poisoning — No tools to analyze
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Injection vectors — No tools to analyze
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Tool stability — Tool definitions stable
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Dependency health — No package to analyze
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License — License: MIT
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Authentication — No authentication required
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