Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

MCP Agent Graph is a Multi-Agent System built on the principles of Context Engineering

A curated list of awesome open-source libraries for context engineering (Long-term memory, MCP: Model Context Protocol, Prompt/RAG Compression, Multi-Agent)

A Model Context Protocol (MCP) server that enables AI assistants to interact with IDA Pro for reverse engineering and binary analysis tasks.

Comprehensive guide to AI agent engineering: how 30+ frameworks actually work under the hood. Context rot, compaction, system prompt assembly, SOUL.md, agent loops, memory systems, tool sprawl, MCP, progressive disclosure, multi-agent orchestration, Plan/Act, episodic memory. Code examples throughout. Pick the right stack, avoid the common traps

Model Context Protocol (MCP) server for AI-powered reservoir engineering calculations. Integrates pyResToolbox with Claude AI for PVT analysis, well performance, simulation support, and more. 47 production-ready tools using industry-standard correlations.

本仓库旨在整理关于大语言模型（LLM）底层逻辑、**上下文工程 (Context Engineering)** 以及 **Model Context Protocol (MCP)** 协议的核心学习资源与实战路径。

Context Engineering MCP — Hierarchical YAML context extraction and multi-agent orchestration framework

Unified MCP context intelligence platform — pip-installable CLI that absorbed 6 foundational repos. Context engineering for AI agents.

An MCP server that helps engineers achieve Jensen Huang's recommended $250k/year compute spend by injecting ~2.9M tokens of canonical Western literature into every AI interaction. Deep humanistic context for every engineering decision.

mcp-commit-story is a Model Context Protocol (MCP) server designed to capture and generate engineering journal entries within a code repository. The journal captures technical progress, decision-making context, and emotional tone, with the goal of producing content that can later be reused for storytelling (e.g., blog posts, conference talks).

Automated Context Engineering MCP Server for creating high-quality Product Requirements Prompts (PRPs) through AI-assisted workflows

Code Scalpel is the bridge between **Generative AI** and **Reliable Software Engineering**. It is an **MCP (Model Context Protocol) server** designed to be the primary toolset for AI agents (like Claude, GitHub Copilot, and Cursor) to perceive, analyze, and modify codebases with surgical precision.

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.

Local JSON memory store for context engineering with GitHub Copilot and MCP clients. Includes CLI, MCP server, and custom VS Code agent.

A Model Context Protocol (MCP) server that provides AI assistants with binary analysis capabilities using Ghidra (static) and x64dbg (dynamic). Built for security research, malware analysis, and reverse engineering.

A Rust-based Model Context Protocol (MCP) server for AI code generation. Solves the context engineering problem by organizing and serving structured context from a local SQLite database to LLMs and AI tools. Fast, standards-based, and easy to run locally.

A Ghidra MCP Server for Claude Code - Binary Analysis Made Adorable. Keywords: ghidra, mcp, ghidra-mcp, model-context-protocol, binary-analysis, reverse-engineering, decompiler

A powerful MCP (Model Context Protocol) server for browser debugging and reverse engineering. Provides AI coding assistants with comprehensive browser automation, JavaScript debugging, and network analysis capabilities.

MCP server for AI-assisted JavaScript reverse engineering. Beautifies minified/obfuscated code and truncates long strings to prevent LLM context overflow.

A visually stunning, AI-powered portfolio website showcasing QA Automation, MCP Context Engineering, and SaaS AI chatbot projects — built using Next.js, Tailwind CSS, and Framer Motion.

MCP server for AI-powered prompt engineering. Refines, analyzes & generates prompts with workspace awareness - understands your tech stack, dependencies & project context. Works with Claude Desktop, Cursor, VS Code, Windsurf, Zed & more. Free, no API key needed.

A collection of Model Context Protocol (MCP) servers for chemical engineering and chemistry applications, built on top of the powerful MoziChem framework.

A comprehensive MCP (Model Context Protocol) server for ML model training, fine-tuning, and experimentation. Transform your AI assistant into a full ML engineering environment.

Agentic Platform Engineering architecture leveraging GitHub Copilot and Model Context Protocol (MCP)

MCP Code Mode: Context Engineering for Efficient Tool Execution in LLM Agents

A Model Context Protocol (MCP) server that provides a prompt optimization service for Large Language Models (LLMs) using Google Gemini, with advanced prompt engineering thanks to 22365_3_Prompt_Engineering_v7.pdf authored by Lee Boonstra

Engineering context for AI coding agents — decisions from GitHub + session memory (bugs, gotchas, implementations) via MCP

Reference architecture for spec-driven, AI-assisted software development using GitHub Copilot, MCP, and repo-based context engineering.