MCP Server

context-engineering

by timothywarner-org

🧠 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.

17 stars15 forksActivePython
79
Good

📊 Score Breakdown

🛡️Security30%
5.0/5
Utility30%
2.0/5
🔄Maintenance25%
5.0/5
💎Uniqueness15%
4.0/5

Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology →

ℹ️ Details

Category

🗄️ Databases & Storage

Ecosystem

MCP Server

Language

Python

Pricing

Free

License

MIT

Status

Active

Platforms

claude

📈 GitHub Signals

17

Stars

15

Forks

0

Commits (30d)

3

Open Issues

Last commit: 3 days ago

ai-agentsai-memoryanthropicazure-ai-searchchromadbclaudecontext-engineeringfastapi

Data last verified: Yesterday. See something wrong? Report it →