This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

Ensemble testing for front-end web quality

Forges reusable Skill packages (SKILL.md + scripts) from website exploration via browser-act — no re-exploration later. Use when: user wants a reusable Skill for any website, needs to understand a site's internal APIs, wants to reproduce an existing scraper/SaaS/tool product (shown its product page)

Configure and troubleshoot Turborepo repositories. Use when working with turbo.json, task pipelines, caching, Remote Cache, the turbo CLI, filtering, environment variables, package boundaries, monorepo structure, or CI workflows.

Pre-visit due diligence and company research in DeepSeek Harness with Host-tracked progress, fixed-route Qichacha MCP calls, entity confirmation, and downloadable reports.

AI staff accountant for QuickBooks: transactions, reports, receivables, payables, month-end close

Build AI-powered software with TypeSafe: small units of AI intelligence you can use like programming primitives. Its System One models, including Jev, turn natural language and application state into typed judgments and probabilities that code can combine. Use when a feature needs programmable commo

Read-only security & compliance plugin for DeepSeek Harness: prompt-injection detection, Chinese-PII redaction, and local configuration audit with redacted, reproducible reports.

A configurable branch-role guard for AI coding agents (DSH / Claude Code / Codex / OpenCode / Antigravity / Pi / CodeBuddy / ZCode / Cursor) — zero-config defaults (develop+main) out of the box, deep-merge override, per-client native hooks via gitflow-gua

Full-duplex voice plugin for DeepSeek Harness: local zipformer2 streaming ASR (no API key) → editable draft; Edge TTS or local VITS / Kokoro read-aloud with live captions; true barge-in; hardened HTTP surface + model SHA256 pinning; compatible with all ds

Universal AI bridge for Obsidian vaults - connect any MCP-compatible assistant

Role-based AI swarm orchestration for DeepSeek Harness: duty-table model pinning per role, parallel task DAG with review loops, and a live Swarm dashboard tab in the web GUI.

Automatically turn successful DeepSeek Harness sessions into reusable, reviewable Agent Skills.

Evidence-first reading for AI agents — turn articles, books and PDFs into traceable claims, evidence, source locations and knowledge maps.

RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in real source via one MCP tool (search_ruvnet), so it builds with the stack instead of drifting off it.

Kimi for Claude Code and Codex: code questions, reviews, fixes, and parallel tasks through your local Kimi Code CLI. Available through GitHub marketplaces and npm.

Manage MCP servers (stdio / streamable-http) for dsh web; tools are reached only through four middleware tools. DSH MCP 管理器：Web 侧边栏「MCP」入口，面板按状态分级展示 MCP 服务器（运行中/连接中/已配置/失败），支持快速接入（stdio / streamable-http 表单）与粘贴 mcpServers JSON 导入。已连接服务器的工具一律经中间层工具（ws_mcp_

DSH 原生 MUV 引擎 —— 正则脚本、状态栏级联（任意字段/行动选项）、变量追踪、LaTeX、宏展开、标签 CSS、visual 代码块渲染（信纸/终端/报纸/手机），内置 diag.mjs 诊断工具。需与伴生插件 dsh-muv-table 一起安装

Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.

:star: AI-assisted development workflow that produces understanding alongside code. Teach, capture decisions, document, assemble reviews.

Persistent project memory for dsh agents: index docs (PDF/Markdown/text) and code symbols into a searchable per-workspace store, recall them with cited sources, and keep experience entries (problems -> solutions) searchable on demand.

Portable skills, agents, hooks, and Pi extensions for Claude Code, Codex CLI, Copilot, Cursor, Grok, and Pi.

A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal Engine through the native C++ Automation Bridge plugin. Built with TypeScript and C++.

Bilingual floating DeepSeek Harness pet with live context, lifetime token ledger, trends, opt-in completion sound, and editable Prompt Optimizer enhancement.