codebase-context and context-engineering-mcp
About codebase-context
PatrickSys/codebase-context
Local-first Second brain for AI agents working on your codebase - detects your team coding conventions and patterns, brings in persistent memory, code-generation checks, and hybrid search with evidence scoring. Exposed through CLI and MCP server.
Tired of AI agents generating code that doesn't align with your team's existing conventions? This tool provides AI agents with deep context about your codebase, including coding patterns, architectural decisions, and even past workarounds. It takes your team's code and git history as input and helps AI agents produce code that seamlessly integrates, while also remembering past corrections and surfacing critical information before any edits are made. It's designed for software developers and engineering teams using AI code assistants.
About context-engineering-mcp
bralca/context-engineering-mcp
Context Engineering is a MCP server that gives AI agents perfect understanding of your codebase. Eliminates context loss, reduces token usage, and generates comprehensive feature plans in minutes. Compatible with Cursor, Claude Code, and VS Code.
This project helps software developers and development teams leverage AI assistants like Cursor or Claude Code to build features faster and more consistently. It takes your existing codebase, understands its structure, tech stack, and coding patterns, then uses this deep context to generate comprehensive feature plans, technical documentation, and task lists. The result is AI-generated code and plans that perfectly align with your project's established conventions.
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