🧠 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.
This repository also configures its own agents. See what context-engineering tells them →
timothywarner-org/context-engineering
MCP server Claude CodeCodexCursor +2
One of 3 in mcp.json
MCP server "vscode-warnerco-schematica" as configured in timothywarner-org/context-engineering. Runs locally from the warnerco-mcp Python package. Needs 1 environment variable to run.
timothywarner-org/context-engineering
MCP server Claude CodeCodexCursor +2
One of 3 in mcp.json
GitHub's hosted MCP server: lets the agent search code, read and create issues and pull requests. Remote server at api.githubcopilot.com.
timothywarner-org/context-engineering
MCP server Claude CodeCodexCursor +2
One of 3 in mcp.json
Gives the agent up-to-date documentation and code examples for libraries and frameworks, fetched on demand so answers are not stuck at the model's training cutoff. Runs locally from the @upstash/context7-mcp npm package. Needs 1 environment variable to run.