Connectry Architect Cert
ree certification prep for the Claude Certified Architect exam. 390 questions, guided capstone build, 30 handouts, 6 reference projects, practice exams, interactive UI, progress dashboard, spaced repetition, deterministic grading. Runs locally.
Ace the Claude Certified Architect exam
Adaptive certification prep powered by the Model Context Protocol.
390 questions. Guided capstone build. 30 concept handouts. 6 reference projects. Practice exams. Interactive dashboard. Spaced repetition. Zero sycophancy.
Quick Start • Learning Path • Interactive Experience • Assessment • Handouts • Practice • Capstone Build • Practice Exams • Dashboard • Reference Projects • Tools • Architecture
What is Architect Cert?
Architect Cert is a free, open-source MCP server that turns Claude into your personal certification tutor for the Claude Certified Architect — Foundations exam. No courses, no slides, no video lectures — just ask Claude and study.
It ships with:
- 390 scenario-based questions across all 5 exam domains and 30 task statements
- Interactive clickable UI — answer questions with A/B/C/D buttons, select follow-ups, pick domains with checkboxes — all inside Claude
- Lessons-first assessment — learn each domain's concepts before being tested on them
- Guided capstone build — shape your own project, then build it step-by-step while learning every task statement hands-on
- 30 concept handouts — one per task statement, with code examples and common mistakes
- 6 reference projects — runnable TypeScript codebases demonstrating each domain in practice
- Practice exams — 60-question weighted exams with history tracking and improvement trends
- Progress dashboard — glassmorphism visual dashboard with mastery levels, exam history chart, activity timeline
- Visual progress tracking — todo checklists track your progress through assessments, exams, and capstone builds in real time
- Interactive follow-ups — wrong answer? Click to see code examples, concept lessons, handouts, or reference projects
- PDF generation — branded handout PDFs with the Architect Cert logo for offline study
- Spaced repetition — SM-2 algorithm schedules reviews at optimal intervals
- Deterministic grading — pure function grading, no LLM judgment, zero sycophancy
Everything runs locally. No cloud, no accounts, no telemetry.
Quick Start
1. Install
npm install -g connectry-architect-mcp
2. Configure Your MCP Client
Claude Code — One-liner
claude mcp add connectry-architect -- connectry-architect-mcp
That's it. Restart Claude Code and the server starts automatically.
Claude Code — Manual config
Add to .mcp.json in your project or ~/.claude.json globally:
{
"mcpServers": {
"connectry-architect": {
"command": "connectry-architect-mcp"
}
}
}
Restart Claude Code. The server starts automatically when Claude loads.
Claude Desktop — macOS
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"connectry-architect": {
"command": "connectry-architect-mcp"
}
}
}
Tip: If you use
nvm, you may need to specify the full path to the binary:"command": "/Users/yourname/.nvm/versions/node/v22.20.0/bin/connectry-architect-mcp"
Restart Claude Desktop. You'll see the MCP tools icon appear in the chat input.
Claude Desktop — Windows
Add to %APPDATA%\Claude\claude_desktop_config.json:
{
"mcpServers": {
"connectry-architect": {
"command": "connectry-architect-mcp"
}
}
}
Restart Claude Desktop. You'll see the MCP tools icon appear in the chat input.
Any MCP-compatible client
Architect Cert works with any client that supports the Model Context Protocol. Configure it as a stdio server:
- Command:
connectry-architect-mcp - Arguments: none
- Transport: stdio
The server exposes 18 tools, 8 prompts, and 3 resource types.
3. Start Studying
Restart your MCP client and start chatting:
| What you want | What to ask Claude |
|---|---|
| Start from scratch | "Start an assessment to figure out where I stand" |
| Practice questions | "Give me a practice question" |
| Focus on a domain | "Give me a question about agentic architecture" |
| Learn a concept first | "Teach me about task 2.3 — tool provisioning" |
| Build your own capstone | "I want to start a guided capstone build" |
| Take a practice exam | "I want to take a practice exam" |
| Check your progress | "Show my study progress" |
| Show the dashboard | "Show my dashboard" |
| Get a study plan | "What should I study next?" |
| Explore a reference project | "Show me a reference project for domain 1" |
| Generate PDF handouts | Run npm run generate:pdfs in the project directory |
| Reset and start over | "Reset my progress" |
Learning Path
Architect Cert is designed to follow a natural progression. Here's the recommended order:
1. Assessment → Baseline your knowledge across all 5 domains
↓
2. Learn concepts → Read handouts for weak domains before practicing
↓
3. Adaptive practice → Questions prioritized by weakness, reviews, new material
↓
4. Follow-ups → Dive into code examples, concept lessons, reference projects
↓
5. Capstone build → Build your own project covering all 30 task statements
↓
6. Practice exams → Simulate the real exam (60 questions, scored out of 1000)
↓
7. Review & repeat → Dashboard tracks mastery, spaced repetition handles scheduling
You can jump to any stage at any time — the system adapts. But the path above gives you the most structured experience.
Interactive Experience
Architect Cert uses Claude's built-in interactive UI to make studying feel natural. No typing answer letters — just click.
Clickable Answer Selection
Every question presents clickable A/B/C/D buttons directly in Claude. You tap your answer instead of typing it. If the question includes code in the scenario, a code preview appears alongside each option so you can reference it while deciding.
Follow-Up Actions
After every answer, clickable follow-up buttons appear:
After a wrong answer:
- Got it, next question
- Explain with a code example
- Show me the concept lesson
- Show me the handout
- Show me in the reference project
After a correct answer:
- Next question
- Explain why the others are wrong
Multi-Select Domain Picker
When requesting a study plan, you can select multiple domains to focus on using checkboxes — no need to list them out by name.
Visual Progress Checklists
Long flows like the assessment (15 questions), practice exams (60 questions), and capstone build (18 steps) create a visual todo checklist that updates in real time as you progress. You always know where you are and what's left.
Skip & Other
Every question selection includes a Skip button to move on and an Other option to ask a free-form question. If you use "Other" to ask something, Claude answers your question and then re-presents the same quiz question — you never lose your place. "Skip" moves to the next question; skipped questions remain unanswered and will reappear later.
Initial Assessment
Start with a 15-question diagnostic (3 per domain) that determines your learning path. The assessment works differently from raw practice:
Lessons-First Flow
When the assessment reaches a new domain for the first time, it pauses to show you the concept handout before asking questions. This means you learn the key ideas, see code examples, and understand common mistakes before being tested — no guessing blindly.
The flow for each domain:
- Concept handout is shown (one-time per domain)
- 3 questions presented one at a time (easy, medium, hard)
- Each answer graded immediately with explanation
- Move to the next domain
Path Assignment
Based on your overall accuracy:
| Score | Path | Description |
|---|---|---|
| < 60% | Beginner-Friendly | Starts with fundamentals, builds up gradually. Focuses on easy and medium questions first. |
| >= 60% | Exam-Weighted | Focuses on high-weight domains first (D1 at 27%, D3 & D4 at 20% each). Targets weak areas aggressively. |
Progress Tracking
The assessment creates a 15-item visual checklist (Q1 through Q15, grouped by domain) that updates after each answer. You always see exactly how far you've progressed.
Concept Handouts
Every task statement has a concept handout — a structured study document (~500-800 words) that covers:
- Concept — The core idea, mental model, and when/why to use it
- Code Example — Realistic TypeScript demonstrating the pattern
- Common Mistakes — The 3-5 most frequent errors (which map to exam wrong answers)
- References — Links to Anthropic's official documentation
Reading Handouts in Claude
You: "Show me the handout for task 2.3"
Claude: [loads the full handout with concept, code, mistakes, references]
When Handouts Appear Automatically
- During assessment — shown before the first question of each new domain
- After a wrong answer — "Show me the handout" is one of the follow-up options
- During capstone build — relevant handouts are available at each build step
Generating PDF Handouts
Generate branded PDFs for all 30 handouts for offline study:
cd connectrylab-architect-cert-mcp
npm run generate:pdfs
This creates 30 PDFs in generated/handouts/ with:
- Architect Cert logo and domain label in the header
- Clean formatting with syntax-highlighted code blocks
- "Connectry LABS — Claude Certified Architect Exam Prep — Free & Open Source" footer
Adaptive Practice
Every practice question is selected by a three-priority algorithm:
- Overdue reviews — Spaced repetition items due for review today
- Weak areas — Topics where your mastery is below 50%
- New material — Fresh questions from your recommended domain
Filtering
You can filter practice questions by domain and/or difficulty:
You: "Give me a hard question about prompt engineering"
Claude: [presents a hard Domain 4 question with clickable A/B/C/D buttons]
Interactive Follow-Ups
After every answer, you get clickable follow-up options. Each option dives deeper into the concept — then brings you right back to your quiz. You never leave your study flow to look something up.
Mastery Levels
Each of the 30 task statements has an independent mastery level:
| Level | Criteria | What it means |
|---|---|---|
| Unassessed | No attempts yet | You haven't seen questions on this topic |
| Weak | < 50% accuracy | Needs significant study — questions resurface frequently |
| Developing | 50-69% accuracy | Making progress — keep practicing |
| Strong | 70-89% accuracy | Good understanding — review intervals are longer |
| Mastered | >= 90% accuracy, 5+ attempts, 3+ consecutive correct | Exam-ready — rare reviews |
Spaced Repetition (SM-2)
The SM-2 algorithm schedules review intervals:
- First review: 1 day after answering
- Second review: 3 days after first review
- Subsequent reviews: Previous interval x ease factor (starts at 2.5)
- Wrong answer: Interval resets, ease factor decreases by 0.2 (floor: 1.3)
- Correct answer: Ease factor increases by 0.1
Difficult questions come back often. Easy ones space out to weeks or months.
Guided Capstone Build
The most hands-on way to learn — build your own project from scratch while covering all 30 task statements. Instead of just answering questions, you architect a real system themed to your own idea.
How It Works
The capstone build has three phases:
Phase 1 — Project Shaping
You describe a project idea (e.g., "a multi-agent code review system"). Claude analyzes your idea against all 30 architectural criteria and identifies gaps. You refine together until every task statement is covered.
You: "I want to start a guided capstone build"
Claude: [presents the 30 criteria across all 5 domains]
Describe your project idea and I'll analyze coverage.
You: "A multi-agent code review system that analyzes PRs"
Claude: Your idea naturally covers 24/30 criteria. To cover the
remaining 6, I'd suggest adding: [specific suggestions
mapped to task statements]
Phase 2 — Interleaved Build (18 steps)
Each step follows the same pattern:
- Quiz — 2-3 questions on the task statements you're about to build (clickable A/B/C/D)
- Build — Claude generates the file's code, themed to your project
- Walkthrough — Line-by-line explanation mapping code to task statements
A visual 18-step checklist tracks your progress in real time.
The 18 steps build incrementally:
| Steps | What you build | Task Statements |
|---|---|---|
| 1-2 | Project config (CLAUDE.md, package.json) | 3.1-3.4 |
| 3-5 | MCP server, tools, error handling | 2.1-2.5 |
| 6-10 | Agentic loop, subagents, hooks, workflows, sessions | 1.1-1.7 |
| 11-13 | Prompts: system, extraction, batch processing | 4.1-4.6 |
| 14-18 | Context: preservation, triggers, propagation, scratchpad, confidence | 5.1-5.6 |
Every quiz answer feeds into the same spaced repetition and mastery tracking as regular practice.
Phase 3 — Final Review
After step 18, you get a complete coverage map: all 30 task statements, where each is demonstrated in your project, and your quiz performance per domain. Weak areas are flagged for further study.
Capstone Build Tools
| Tool | What it does |
|---|---|
start_capstone_build | See the 30 criteria, describe your theme, refine until coverage is complete |
capstone_build_step | Drive the build: confirm, quiz, build, next, status, or abandon |
capstone_build_status | Check your progress — current step, criteria coverage, quiz performance |
How It Connects to Everything Else
- Quiz answers during the build use the same
submit_answergrading and SM-2 scheduling - After any quiz question, you can use the same follow-up options (code example, concept lesson, handout, reference project)
- The reference projects show how the capstone structure looks when complete
- Progress persists across sessions — pick up where you left off
Practice Exams
Full 60-question exams that simulate the real certification:
| Detail | Value |
|---|---|
| Total questions | 60 |
| D1: Agentic Architecture | 16 questions (27%) |
| D2: Tool Design & MCP | 11 questions (18%) |
| D3: Claude Code Config | 12 questions (20%) |
| D4: Prompt Engineering | 12 questions (20%) |
| D5: Context & Reliability | 9 questions (15%) |
| Scoring | 0-1000, passing at 720 |
| Question selection | Fresh set each time — avoids repeating your most recent attempt |
| UI | Clickable A/B/C/D buttons with code previews |
| Progress | Visual 60-item checklist updated after each answer |
All attempts are saved with per-domain score breakdowns and improvement trends.
Progress Dashboard
Architect Cert includes a glassmorphism visual dashboard that renders directly inside Claude via Claude Preview.
What It Shows
- Readiness Ring — Overall exam readiness percentage in a circular progress indicator
- Domain Mastery Grid — 5 cards with progress bars for each exam domain
- Exam History Chart — Line chart plotting your practice exam scores over time, with the 720 passing score marked
- Recent Activity Timeline — Your last 10 answers with correct/incorrect indicators
- Capstone Progress — Current build step and completion percentage
- Quick Action Buttons — Jump to practice, exam, study plan, or capstone
How to Open
You: "Show my dashboard"
Claude: [opens the branded dashboard in Claude Preview]
The dashboard can be reopened at any time by asking Claude again. It always reflects your latest data.
Text Fallback
For MCP clients that don't support Claude Preview, the dashboard tool also returns a text summary with mastery percentages and exam stats.
Reference Projects
Architect Cert includes 6 complete reference projects — runnable TypeScript codebases that demonstrate certification concepts in real code. Every file has a header comment mapping it to specific task statements.
| Project | Focus | Files | What You'll See |
|---|---|---|---|
| Capstone | All 5 domains | 24 | Full multi-agent support system with MCP server, coordinator, subagents, prompt engineering, context management, and hooks |
| D1 — Agentic Loop | Domain 1 | 10 | Multi-agent research coordinator with agentic loops, subagent spawning, hooks, session management, and task decomposition |
| D2 — Tool Design | Domain 2 | 12 | MCP server with split tools, structured errors, agent-scoped tool distribution, resources, and built-in tool patterns |
| D3 — Claude Code Config | Domain 3 | 14 | Complete config reference: CLAUDE.md hierarchy, slash commands, path rules, CI/CD workflows — not runnable code, but a real config layout |
| D4 — Prompt Engineering | Domain 4 | 11 | Data extraction pipeline with explicit criteria, few-shot, structured output, validation-retry, batch processing, and multi-pass review |
| D5 — Context Manager | Domain 5 | 14 | Long-session patterns: context preservation, scratchpad, subagent delegation, escalation, error propagation, confidence calibration, provenance |
How to Access
You: "Show me a reference project for domain 1"
Claude: [returns the project README, file listing, and architecture walkthrough]
How They Connect to the Study Flow
When you get a question wrong, one of the follow-up options is "Show me in the reference project" — this takes you straight to the relevant domain project so you can see the concept implemented in real code. Then you jump back to your quiz.
Study Plan
Get personalized study recommendations based on your performance, exam weights, and spaced repetition schedule.
Multi-Select Domain Focus
When requesting a study plan, you can pick specific domains to focus on using checkboxes:
You: "What should I study next?"
Claude: [shows domain checkboxes — select the ones you want to focus on]
[generates a personalized study plan with a visual checklist]
The study plan creates a visual checklist so you can track your progress through each recommendation.
Exam Domains
The Claude Certified Architect — Foundations exam covers 5 domains:
| # | Domain | Weight | Tasks | Questions |
|---|---|---|---|---|
| 1 | Agentic Architecture & Orchestration | 27% | 7 | 91 |
| 2 | Tool Design & MCP Integration | 18% | 5 | 65 |
| 3 | Claude Code Configuration & Workflows | 20% | 6 | 78 |
| 4 | Prompt Engineering & Structured Output | 20% | 6 | 78 |
| 5 | Context Management & Reliability | 15% | 6 | 78 |
| Total | 100% | 30 | 390 |
30 Task Statements
Domain 1 — Agentic Architecture & Orchestration (7 tasks, 91 questions)
| Task | Description |
|---|---|
| 1.1 | Design and implement agentic loops for autonomous task execution |
| 1.2 | Orchestrate multi-agent systems with coordinator-subagent patterns |
| 1.3 | Configure subagent invocation, context passing, and spawning |
| 1.4 | Implement multi-step workflows with enforcement and handoff patterns |
| 1.5 | Apply Agent SDK hooks for tool call interception and data normalization |
| 1.6 | Design task decomposition strategies for complex workflows |
| 1.7 | Manage session state, resumption, and forking |
Domain 2 — Tool Design & MCP Integration (5 tasks, 65 questions)
| Task | Description |
|---|---|
| 2.1 | Design effective tool interfaces with clear descriptions and boundaries |
| 2.2 | Implement structured error responses for MCP tools |
| 2.3 | Distribute tools appropriately across agents and configure tool choice |
| 2.4 | Integrate MCP servers into Claude Code and agent workflows |
| 2.5 | Select and apply built-in tools effectively |
Domain 3 — Claude Code Configuration & Workflows (6 tasks, 78 questions)
| Task | Description |
|---|---|
| 3.1 | Configure CLAUDE.md files with appropriate hierarchy and scoping |
| 3.2 | Create and configure custom slash commands and skills |
| 3.3 | Apply path-specific rules for conditional convention loading |
| 3.4 | Determine when to use plan mode vs direct execution |
| 3.5 | Apply iterative refinement techniques for progressive improvement |
| 3.6 | Integrate Claude Code into CI/CD pipelines |
Domain 4 — Prompt Engineering & Structured Output (6 tasks, 78 questions)
| Task | Description |
|---|---|
| 4.1 | Design prompts with explicit criteria to improve precision |
| 4.2 | Apply few-shot prompting to improve output consistency |
| 4.3 | Enforce structured output using tool use and JSON schemas |
| 4.4 | Implement validation, retry, and feedback loops |
| 4.5 | Design efficient batch processing strategies |
| 4.6 | Design multi-instance and multi-pass review architectures |
Domain 5 — Context Management & Reliability (6 tasks, 78 questions)
| Task | Description |
|---|---|
| 5.1 | Manage conversation context to preserve critical information |
| 5.2 | Design effective escalation and ambiguity resolution patterns |
| 5.3 | Implement error propagation strategies across multi-agent systems |
| 5.4 | Manage context effectively in large codebase exploration |
| 5.5 | Design human review workflows and confidence calibration |
| 5.6 | Preserve information provenance and handle uncertainty in synthesis |
Tools
Architect Cert provides 18 MCP tools that Claude uses to deliver the study experience:
Study Flow
| Tool | Description |
|---|---|
start_assessment | Begin with 15 diagnostic questions (lessons-first, one at a time) to determine your learning path |
get_practice_question | Get the next adaptive question with clickable A/B/C/D buttons (reviews > weak areas > new material) |
submit_answer | Grade your answer deterministically — presents interactive follow-up options |
follow_up | Handle post-answer actions: code examples, concept lessons, handouts, reference projects |
get_section_details | Deep dive into a specific task statement with full concept handout |
Progress & Planning
| Tool | Description |
|---|---|
get_progress | View overall study progress with mastery percentages per domain |
get_curriculum | Browse all 5 domains and 30 task statements with current mastery levels |
get_weak_areas | Identify topics that need the most work, ranked by weakness |
get_study_plan | Get personalized recommendations with multi-select domain focus |
get_dashboard | Open the visual progress dashboard in Claude Preview |
Practice Exams
| Tool | Description |
|---|---|
start_practice_exam | Take a full 60-question practice exam simulating the real certification |
submit_exam_answer | Submit and grade answers during a practice exam |
get_exam_history | View all past exam attempts with scores, trends, and per-domain comparison |
Capstone Build
| Tool | Description |
|---|---|
start_capstone_build | Start a guided capstone build — shape your project and validate criteria coverage |
capstone_build_step | Drive the capstone build: confirm, quiz, build, next, status, or abandon |
capstone_build_status | Check capstone build progress — current step, coverage, quiz performance |
Reference & Admin
| Tool | Description |
|---|---|
scaffold_project | Access reference projects for hands-on practice with real code |
reset_progress | Start over — requires explicit confirmation to prevent accidents |
The server also registers 8 interactive prompts and 3 resource types (concept handouts, reference projects, exam overview).
Architecture
┌──────────────────────────────────────────────────────────────────────┐
│ YOUR MACHINE │
│ │
│ ┌──────────────┐ ┌────────────────────────────────┐ │
│ │ Claude Desktop│ │ Architect Cert MCP │ │
│ │ Claude Code │◄─────►│ │ │
│ │ Any MCP client│ stdio │ 18 tools │ │
│ └──────┬───────┘ │ 8 prompts │ │
│ │ │ 3 resource types │ │
│ │ └──────────┬─────────────────────┘ │
│ │ │ │
│ │ ┌────────────────┼────────────────────┐ │
│ │ │ │ │ │
│ │ ~/.connectry- 390 questions 6 reference │
│ │ architect/ 30 handouts projects │
│ │ progress.db (bundled JSON/MD) (bundled TS) │
│ │ │
│ │ ┌──────────────────────────┐ │
│ └──► Claude Preview (Dashboard) │ │
│ │ localhost HTTP server │ │
│ └──────────────────────────┘ │
│ │
└──────────────────────────────────────────────────────────────────────┘
Core Components
| Component | Technology | Purpose |
|---|---|---|
| MCP Server | @modelcontextprotocol/sdk v1 | Registers tools, prompts, resources over stdio |
| Grading Engine | Pure TypeScript functions | Deterministic answer verification |
| Spaced Repetition | SM-2 algorithm | Optimal review scheduling |
| Question Selector | Three-priority algorithm | Overdue reviews > weak areas > new material |
| Follow-Up System | State-driven tool chain | Interactive post-answer detours |
| Capstone Build Engine | 18-step interleaved builder | Guided learn-build-explain flow with LLM validation |
| Dashboard Server | Node.js HTTP + HTML | Glassmorphism visual dashboard via Claude Preview |
| Question Bank | 390 bundled JSON questions | Scenario-based, verified against docs |
| Concept Handouts | 30 bundled markdown files | Structured study materials per task statement |
| Reference Projects | 6 bundled TypeScript projects | Runnable code demonstrating each domain |
| PDF Generator | Puppeteer + Marked | Branded handout PDFs for offline study |
| Progress Store | better-sqlite3 (WAL mode) | Persistent mastery, answers, schedules |
Interactive UI Architecture
Architect Cert doesn't build its own chat UI. Instead, it instructs Claude to use built-in interactive tools:
- AskUserQuestion — Presents clickable buttons for A/B/C/D answers, follow-up actions, and domain selection. Supports single-select (radio buttons), multi-select (checkboxes), and free-text input via "Other".
- TodoWrite — Creates visual progress checklists that update in real time during assessments, exams, and capstone builds.
- Claude Preview — Renders the glassmorphism dashboard HTML on a local HTTP server.
This approach works across Claude Code and Claude Desktop without requiring any custom UI code on the client side.
Anti-Sycophancy Design
This server enforces honest grading at the protocol level — not just in prompts:
- Deterministic grading —
gradeAnswer()is a pure function. No LLM is involved in judging correctness. - Tool-level enforcement — The
submit_answertool description instructs Claude to relay results verbatim. - No partial credit — Multiple choice, one correct answer. No "you were on the right track."
- Wrong answer explanations — Every incorrect option has a specific
whyWrongMapentry explaining the misconception. - System prompt rules — Five anti-sycophancy directives prevent Claude from softening incorrect results.
Question Bank Details
| Metric | Value |
|---|---|
| Total questions | 390 |
| Domains covered | 5 |
| Task statements covered | 30 |
| Questions per task statement | 13 |
| Difficulty distribution | ~4 easy, 5 medium, ~4 hard per task |
| Answer key balance | Distributed across A/B/C/D |
| Question format | Scenario-based multiple choice |
| Each question includes | Scenario, question, 4 options, explanation, why-wrong-map, references |
| Source material | Anthropic official documentation |
Data Storage
- Progress is stored locally at
~/.connectry-architect/progress.db(SQLite, WAL mode) - Your user config lives at
~/.connectry-architect/config.json(auto-created on first run) - No cloud, no accounts, no telemetry — everything stays on your machine
Contributing
We welcome contributions! Here's how to get started:
# Clone the repo
git clone https://github.com/Connectry-io/connectrylab-architect-cert-mcp.git
cd connectrylab-architect-cert-mcp
# Install dependencies
npm install
# Build
npm run build
# Run tests
npm test
# Generate PDF handouts
npm run generate:pdfs
# Run locally
node dist/index.js
Project Structure
src/
├── index.ts # MCP server entry point
├── config.ts # User config management
├── types.ts # All TypeScript interfaces
├── data/
│ ├── loader.ts # Lazy-cached data loading
│ ├── curriculum.json # 30 task statements
│ ├── questions/ # 390 questions (5 domain files)
│ ├── handouts/ # 30 concept handouts (markdown)
│ ├── criteria.ts # 30 task statement criteria for capstone validation
│ ├── build-steps.ts # 18 capstone build step definitions
│ └── system-prompt.ts # Anti-sycophancy rules
├── db/
│ ├── schema.ts # SQLite schema (9 tables)
│ ├── store.ts # Database initialization
│ ├── mastery.ts # Mastery level calculations
│ ├── answers.ts # Answer recording
│ ├── review-schedule.ts # SM-2 review scheduling
│ ├── capstone.ts # Capstone build CRUD operations
│ ├── users.ts # User management
│ └── exam-attempts.ts # Practice exam tracking
├── engine/
│ ├── grading.ts # Deterministic grading
│ ├── spaced-repetition.ts # SM-2 algorithm
│ ├── question-selector.ts # Priority-based selection
│ ├── exam-builder.ts # Practice exam generation
│ └── adaptive-path.ts # Learning path recommendations
├── tools/ # 18 MCP tool handlers
│ ├── index.ts # Tool registration
│ ├── elicit.ts # MCP elicitation helper (graceful fallback)
│ ├── start-assessment.ts
│ ├── submit-answer.ts
│ ├── get-practice-question.ts
│ ├── follow-up.ts
│ ├── get-progress.ts
│ ├── get-curriculum.ts
│ ├── get-section-details.ts
│ ├── get-weak-areas.ts
│ ├── get-study-plan.ts
│ ├── start-practice-exam.ts
│ ├── submit-exam-answer.ts
│ ├── get-exam-history.ts
│ ├── scaffold-project.ts
│ ├── start-capstone-build.ts
│ ├── capstone-build-step.ts
│ ├── capstone-build-status.ts
│ ├── reset-progress.ts
│ └── dashboard.ts
├── ui/
│ ├── server.ts # Dashboard HTTP server
│ ├── dashboard.html # Glassmorphism dashboard UI
│ ├── meta.ts # Quiz widget metadata
│ └── loader.ts # HTML asset loader
├── prompts/ # 8 MCP prompt definitions
└── resources/ # 3 MCP resource types
projects/
├── capstone/ # All 5 domains — multi-agent support system
├── d1-agentic/ # Domain 1 — agentic loop research coordinator
├── d2-tools/ # Domain 2 — MCP server with tool patterns
├── d3-config/ # Domain 3 — Claude Code configuration layout
├── d4-prompts/ # Domain 4 — extraction & prompt engineering
└── d5-context/ # Domain 5 — context management & reliability
scripts/
└── generate-pdfs.ts # PDF handout generator
License
MIT © Connectry Labs
Credits
- Anthropic — Claude & the Claude Certified Architect certification program
- Model Context Protocol — The protocol that makes this possible
- better-sqlite3 — Fast, synchronous SQLite for Node.js
Built with care by Connectry Labs
संबंधित सर्वर
OmniFocus MCP Server
Integrate OmniFocus with Claude Desktop for AI-powered task management and weekly reviews.
n8n Workflow Builder
An MCP server for managing n8n workflows through its API.
Odoo-MCP
Integrate with Odoo ERP systems to manage business data and operations. Requires external configuration for connection parameters.
Offorte
Create and send business proposals using AI with Offorte.
PapersGPT for Zotero
The fastest MCP connect to Zotero
URL Shortener (x.gd)
Creates shortened URLs using the x.gd service.
Follow Plan
Track and manage AI implementation plans.
SlideSpeak
Create and automate PowerPoint presentations and slide decks using the SlideSpeak API. Requires an API key.
OneNote MCP Server
An MCP server for Microsoft OneNote, allowing AI models to interact with notebooks, sections, and pages. Requires Azure credentials.
ShipBoss
An intelligent shipping assistant for managing shipments, requiring a ShipBoss API token.