# Context Engineering MCP server

> Provides a training hub and implementation framework for building AI systems with production-ready semantic memory and hybrid RAG using MCP.

- Repository: https://github.com/timothywarner-org/context-engineering
- Page: https://hostedmcp.org/servers/timothywarner-org/context-engineering
- Transport: —
- Stars: 28
- License: MIT

## Tools (2)

- `warn_search_tools`
- `warn_describe_tool`

## FAQ

### What technologies are used to build the memory systems?

The system uses Python, FastAPI, FastMCP, and LangGraph to implement semantic memory and hybrid RAG.

### What are the different memory tiers in the WARNERCO application?

The architecture includes four CoALA memory tiers: Working (SQLite), Episodic (SQLite), Semantic (Vector store), and Procedural (MCP Prompts).

### Can I test the MCP server using an inspector?

Yes, you can use the MCP Inspector to test the server by running the npx command provided in the documentation.

### Does the server support remote connections with authentication?

Yes, Lab 04 demonstrates a remote MCP server secured by Entra ID OAuth via Azure API Management.
