context-engineering

by bonigarcia · Memory & Knowledge · ★ 171

context-engineering is an MCP server by bonigarcia. Context Engineering: Build Consistent, Accurate, Predictable AI Systems. It has 171 GitHub stars and ranks #259 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: bonigarcia
GitHub stars: 171
This week: Tracking since 18 Oct 2026
Language: Python
License: Apache-2.0 (open source)
Last update: 2026-10-23 (yesterday)
Links: Source Website

agent-skills
agentic-ai
context-engineering
generative-ai
llm
mcp
mcp-server
memory-management
multi-agent-systems
prompting
rag
spec-driven-development

How to install context-engineering

Install steps differ per project, so follow the README in the context-engineering repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

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Frequently asked questions

What is context-engineering?

context-engineering is an MCP server by bonigarcia in the Memory & Knowledge category. Context Engineering: Build Consistent, Accurate, Predictable AI Systems. It has 171 GitHub stars and ranks #259 of 1287 in Memory & Knowledge by stars. It is written in Python. It is licensed under Apache-2.0. It was last updated yesterday.

Is context-engineering free and open source?

Yes. context-engineering is published under the Apache-2.0 license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to context-engineering?

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