MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
AI-powered security scanner & chaos engineering platform. Multi-tier vulnerability detection, RAG-powered code analysis, auto-fix generation, and chaos simulation — all running locally with Ollama.
SkillMIT★ 1Few starsNo key
Free, open-source, hands-on curriculum for backend engineering, system design, cloud/DevOps and GenAI — built in the open. Contributors welcome.
SkillMIT★ 7No key
MCP server — search 100+ engineering tools and get instant boilerplate for any stack
Node.jsMIT★ 2Few starsNo key
Autonomous, self-healing Raft key-value fabric with a Groq-powered AI assistant, CNN anomaly detection, MCP tools, RBAC tenants, Merkle audit and a Jepsen-style chaos suite. Designed and developed by
MCPLink only★ 2Few stars
Prove your AI agent fails safely. Fault injection for LLM, RAG, and tool-call failures: declare what must never happen, find the silent failures, and keep the proof on every pull request.
SkillApache-2.0★ 3Few starsNo key
Ground your AI coding agent in the books, standards, and docs you actually trust. A local MCP RAG server that makes your preferences the default.
PythonMITFew starsNo key
The complete guide to Context Engineering — the #1 skill in AI engineering. From fundamentals to production, with working code. Covers RAG, AI agents, MCP, compression, and more.
SkillMITFew starsNo key
Agentic Engineering Worksheet — a trace-first handbook with labs, tiered Q&A
SkillApache-2.0★ 5No key
AI Engineering Atlas — The interactive map for understanding modern AI systems, architectures, and engineering patterns.
MCPLink only★ 1Few stars
从会调 LLM API 到能把 Agent 送上线：按依赖关系排的六阶段学习路线（中英双语）· An opinionated roadmap for becoming an AI agent engineer
MCPLink only★ 1Few stars
MagicSkills — link-loadable step-by-step AI skills (Research, Coding, Cyber Security, Scanning, Issues Founder, Thinking, Debugger, Deep Search, ANIZ)
SkillMIT★ 2Few starsNo key
Spec-first agentic AI capability patterns for decision intelligence, commerce, engineering, supply chain, and compliance
PythonMIT★ 1Few starsNo key
AI Engineering: From Software Engineer to Production AI Engineer — a complete textbook with runnable code, six projects and a capstone.
SkillMIT★ 1Few starsNo key
XRON: A lossless data serialization format that reduces JSON LLM token consumption by up to 80%. Optimize context windows and reduce GPT/Claude costs.
SkillMIT★ 1Few starsNo key
Project-based AI engineering roadmap for experienced software engineers learning LLM apps, RAG, agents, evals, system design, and AI infrastructure.
SkillMIT★ 1Few starsNo key
Open-source, bilingual LLM engineering course with hands-on labs for RAG, AI agents, MCP, evals, harnesses, loops and production.
MCPLink only★ 2Few stars
In-depth tutorials on LLMs, RAG, AI Agents, MCP, and real-world AI engineering projects. 93+ production-ready projects.
SkillMIT★ 1Few starsNo key
A hands-on course on AI engineering. Each session pairs the concepts with a real working project, so you learn by building.
SkillGPL-3.0★ 2Few starsNo key
Four AI engineering skills that gate your agent before it builds. Evaluated with deterministic gates, behavioral probes, and LLM-as-judge rubrics.
SkillLink only★ 6
Reliable memory and context infrastructure for AI coding agents: source-backed facts, review-gated learning, MCP/SDK/UI, and replaceable Qdrant/Graphiti retrieval.
PythonApache-2.0★ 7No key
AI engineering notes that keep the confusion in — RAG / Agent / MCP / AI-assisted coding. 52 docs, 27 interactive notebooks, 20 runnable Python examples.
MCPLink only★ 1Few stars
Two friends learning AI engineering, and the game we built to keep each other going: XP, quiz duels, code races and an in-browser AI lab.
SkillApache-2.0★ 6No key
AI-native meta-framework for standing up and operating service ecosystems: Docker scaffolding with recipes, a global Traefik router, and an agent-ready techniques corpus (RAG + MCP). Docs at mechcrate
SkillApache-2.0★ 1Few starsNo key
A practical roadmap for senior software engineers transitioning into AI engineering. Covers LLMs, context engineering, RAG, MCP, agentic AI, security, guardrails, evals, observability, LLMOps, AI syst
SkillMIT★ 1Few starsNo key
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