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MCP servers tagged study-notes
12 live MCP servers tagged "study-notes", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with study-notes.
Claude Certified Architect
Study notes for the Anthropic Claude Certified Architect exams: CCAR-F (Foundations) and CCAR-P (Professional). Includes Mermaid diagrams, comparison tables, exam traps, and quick…
AI Agents Study Guidelines
A structured learning path from foundational concepts to advanced multi-agent systems.
Claude Certified Architect
Study notes for the Anthropic Claude Certified Architect exams: CCAR-F (Foundations) and CCAR-P (Professional). Includes Mermaid diagrams, comparison tables, exam traps, and quick…
AI Agent Engineering Notes
掘金小册《AI Agents 开发实践》学习笔记与章节复盘。系统梳理模型能力转化、工程底座、LangChain 服务端链路、Tool Calling、MCP、Skills 及多智能体协同的心得沉淀。
Building Agent Study
一个系统学习 Agent 工程的中文项目：从理论到实践，由浅入深。
Ccar P
Study platform for the CCAR-P certification: 800+ practice questions with instant grading, full Go/PostgreSQL/Astro stack, and a static GitHub Pages practice site
Gh 600 Apuntes
Apuntes didácticos en español para la GH-600 (GitHub Certified: Agentic AI Developer): los 6 dominios oficiales con LABs prácticos, estilo learning-in-public. No es un dump de lin…
AIMLNotes
Structured AIML study notes by Sourojit Dhua — Python, classical ML, ensembles, neural nets, LLM pipelines, and MCP.
Claudecode Documentation
My personal study notes on Claude Code — MCP servers, agents, skills, hooks, model selection, context management, and prompt engineering, organized as a learning path.
Claude Certified Architect Foundations Study Notes
Claude Certified Architect Foundations study notes covering Claude Code, MCP, prompt engineering, structured output, and context management across Domains 1-5.
Learn Intentsolutions
Jeremy Longshore's personal study notes on AWS, Claude, Amazon Bedrock, and enterprise AI — plus the canonical reference link directory worth bookmarking. Live at learn.intentsolu…
ExamPrep
Provide interactive, data-driven study tools and past-paper analysis for GGSIPU B.Tech Semester IV mid-term exam preparation.